See Google Scholar for citation information.
Journal Articles and Conference Papers
† = Student or postdoc author, directly supervised by Wen at time of publication
†† = Student or postdoc author of collaborator(s) at time of publication
2026
††Fenske, A., †Su, J., Baka, J., Forsythe, B., Williams, L., Shaheen, S.W., Wen, T., Brantley, S.L. and Warner, N.R., 2026. Matrix-Derived Radium Mobilization in Shallow Aquifers Near Unconventional Oil and Gas Operations. Environmental Science & Technology.
PDF DOI †Basijokaite, R., Kang, M. and Wen, T., 2026. Large-sample evidence for surface and groundwater quality associations with marginal, orphaned, and unconventional oil and gas wells across the United States. Environmental Research Letters.
PDF DOI †Su, J., ††Williams, L., ††Fenske, A., ††Shaheen, S., Brantley, S.L., Forsythe, B., Warner, N.R., Baka, J. and Wen, T., 2026. Targeted Sampling Reveals Localized Brine Signals Without Evidence of Regional Water Quality Impacts from Unconventional Oil and Gas Development. Environmental Science: Processes & Impacts.
PDF DOI †Olivier-Meehan, R., Simons, A.L., Prabhu, A., Carter, E., †Basijokaite, R., Lackey, G. and Wen, T., 2026. The Legacy of Conventional Oil and Gas Development Outweighs Shale Gas Impacts on Stream Biodiversity. ACS ES&T Water.
PDF DOI Wang, S., Zhou, X., Huang, X., Zeng, Z., Wen, T., Tian, J., He, M., Dong, J., Li, J., Yan, Y., Wang, Y., Yao, B., Xing, G., Cui, S., Yan, H., Li, R., Zheng, W., Li, L., Li, Z., Xing, L., 2026. Tectonic control on mantle-source helium migration at the southeastern Tibetan Plateau margin. Geological Society of America Bulletin.
PDF DOI
2025
Liu, R., ††Xu, R., Wen, T., †Atchinson, K., Feng, Z., Hao, F., Hu, L., Tian, J., Zhang, Y., Liu, J. and Tuo, L., 2025. Noble gas constraints on fluid flow and hydrocarbon accumulation in the Yinggehai Basin, Northwestern South China Sea. Geoscience Frontiers.
PDF DOI ††Gunn, M., Mills, J.S., Mahoney, M., Beier, C., Wen, T. and Tuttle, S., 2025. A Machine Learning Approach for Estimation of Snow Depth from Snow Temperature for a Northeastern U.S. Forested Watershed. Hydrological Processes.
PDF DOI †Wang, Z., Wen, T., 2025. Inferring End-Members From Geoscience Data Using Simplex Projected Gradient Descent-Archetypal Analysis. Journal of Geophysical Research: Machine Learning and Computation.
PDF DOI †E, B., Zhang, S., Carter, E., ††Meem, T.J. and Wen, T., 2025. Predicting Salinity and Alkalinity Fluxes of U.S. Freshwater in a Changing Climate: Integrating Anthropogenic and Natural Influences Using Data-Driven Models. Applied Geochemistry.
PDF DOI Liu, R., Wen, T., Pinti, D.L., Hao, F., Xu, S., Shu, Z. and Xu, L., 2025. Spatiotemporal variation in tectonic deformation of the Upper Yangtze Block documented by noble gases in Paleozoic shale fluids. International Journal of Coal Geology.
PDF DOI
2024
††Armos, B., Zhang, S., Wen, T., Gellerson, E. and Daripa, P., 2024. A Harmonized River-Ocean Coupled Database for the Northern Gulf of Mexico. Scientific Data.
PDF DOI ††Shaheen, S., Wen, T., Zheng, Z., Xue, L., Baka, J. and Brantley, S.L., 2024. Wastewaters Coproduced with Shale Gas Drive Slight Regional Salinization of Groundwater. Environmental Science & Technology.
PDF DOI Hammond, P.A., Wen, T., Woda, J. and Oakley, D., 2024. Pathways and environmental impacts of methane migration: case studies in the Marcellus Shale, USA. Geofluids.
PDF DOI Liu, Y., Wang, T., Wen, T., Zhang, J., Liu, B., Li, Y., Zhang, H., Rong, X., Ma, L., Guo, F., Liu, X and Sun, Y., 2024. Deep learning-based grain size decomposition model: A feasible solution for dealing with methodological uncertainty. Sedimentology.
PDF DOI †Nesheim, S., Yu, Z., Tuttle, S., †Klein, J. and Wen, T., 2024. Assessing impacts of cemeteries on water quality in an urban headwater watershed with mixed human-built infrastructure. Hydrological Processes.
PDF DOI
2023
Kang, M., Boutot, J., McVay, R.C., Roberts, K., Jasechko, S., Perrone, D., Wen, T., Lackey, G., Raimi, D., Digiulio D.C., Shonkoff, S.B., Carey, J.W., Elliott, E.G., Vorhees, D.J. and Peltz, A., 2023. Environmental risks and opportunities of orphaned oil and gas wells in the United States. Environmental Research Letters.
PDF DOI ††Shaughnessy, A.R., ††Forgeng, M.J., Wen, T., Gu, X., Hemingway, J. and Brantley, S.L., 2023. Linking Stream Chemistry to Subsurface Redox Architecture. Water Resources Research.
PDF DOI †E, B., Zhang, S., Driscoll, C.T. and Wen, T., 2023. Human and natural impacts on the U.S. freshwater salinization and alkalinization: A machine learning approach. Science of The Total Environment.
PDF DOI Carter, E., Hultquist, C. and Wen, T., 2023. GRRIEn Framework: a data science cheat sheet for earth scientists working at large spatial scales. Artificial Intelligence for the Earth Systems.
PDF DOI
2022
††Guo, X., Liu, R., Xu, S., Feng, B., Wen, T. and Zhang, T., 2022. Structural deformation of shale pores in the fold-thrust belt: The Wufeng-Longmaxi shale in the Anchang Syncline of Central Yangtze Block. Advances in Geo-Energy Research.
PDF DOI Cheng, P., Xiao, X., Ren, B., Wen, T. and Yu, S., 2022. Editorial: New advances in light oil/condensate geochemistry. Frontiers in Earth Science.
PDF DOI †Epuna, F., ††Shaheen, S. and Wen, T., 2022. Road Salting and Natural Brine Migration Revealed as Major Sources of Groundwater Contamination Across Regions of Northern Appalachia With and Without Unconventional Oil and Gas Development. Water Research.
PDF DOI Wen, T., ††Chen, C., Zheng, G., Bandstra, J. and Brantley, S.L., 2022. Using a Neural Network – Physics-based Hybrid Model to Predict Soil Reaction Fronts. Computers & Geosciences.
PDF DOI ††Shaheen, S.W., Wen, T., Herman, A., Brantley, S.L., 2022. Geochemical Evidence of Potential Groundwater Contamination with Human Health Risks Where Hydraulic Fracturing Overlaps with Extensive Legacy Hydrocarbon Extraction. Environmental Science & Technology.
PDF DOI ††Wang, S., Huang, X., Wen, T., Wang, X., Wang, H., Han, Y., Li, Z., Kuang, J. and Qi S., 2022. Noble Gases in Shallow Aquifers Preserve Signatures of Boiling Events beneath Weishan Volcano of Wudalianchi Volcanic Field, Northeast China. Journal of Hydrology.
PDF DOI Boumaiza, L., Walter, J., Chesnaux, R., Stotler, R., Wen, T., Johannesson K., Brindha K. and Huneau, F., 2022. Chloride-salinity as indicator of the chemical composition of groundwater: empirical predictive model based on aquifers in Southern Quebec, Canada. Environmental Science and Pollution Research.
PDF DOI He, Y., Zhou, Y., Wen, T., Zhang, S., Huang, F., Zou, X., Ma, X., Zhu, Y., 2022. A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications. Applied Geochemistry.
PDF DOI
2021
Brantley, S.L., Wen, T., Agarwal, D., Catalano, J.G., Schroeder, P.A., Lehnert, K., Varadharajan, C., Pett-Ridge, J., Engle, M., Castronova, A.M., Hooper, R.P., Ma, X., Jin, L., McHenry, K., Aronson, E., Shaughnessy, A.R., Derry, L.A., Richardson, J., Bales, J., Pierce, E.M., 2021. The future low-temperature geochemical data-scape as envisioned by the U.S. geochemical community. Computers & Geosciences.
PDF DOI Liu, R., Wen, T., Amalberti, J., Zheng, J., Hao, F. and Jiang D., 2021. The Dichotomy in Noble Gas Signatures Linked to Tectonic Deformation in Wufeng-Longmaxi Shale, Sichuan Basin. Chemical Geology.
PDF DOI Zheng, G., Liu, C., Wei, H., Jenkins, P., Chen, C., Wen, T. and Li, Z., 2021. Knowledge-based Residual Learning. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).
PDF DOI Wen, T., Liu, M., Woda, J., Zheng, G. and Brantley, S.L., 2021. Detecting anomalous methane in groundwater within hydrocarbon production areas across the United States. Water Research.
PDF DOI ††Shaughnessy, A., Gu, X., Wen, T. and Brantley, S.L., 2021. Machine Learning Deciphers CO2 Sequestration and Subsurface Flowpaths from Stream Chemistry. Hydrology and Earth System Sciences.
PDF DOI Niu, X., Wen, T. and Brantley, S.L., 2021. Exploring the trend of stream sulfate concentrations as U.S. power plants shift from coal to shale gas. Environmental Pollution.
PDF DOI
Prior to 2021
††Agarwal, A., Wen, T., ††Chen, A., ††Zhang, A.Y., Niu, X., Zhan, X., Xue, L., Brantley, S.L., 2020. Assessing Contamination of Stream Networks Near Shale Gas Development Using a New Geospatial Tool. Environmental Science & Technology.
PDF DOI ††Woda, J., Wen, T., Lemon, J., ††Marcon, V., Keeports, C.M., Zelt, F., Steffy, L.Y. and Brantley, S.L., 2020. Methane concentrations in streams reveal gas leak discharges in regions of oil, gas, and coal development. Science of The Total Environment.
PDF DOI Hammond, P.A., Wen, T., Brantley, S.L. and Engelder, T., 2020. Gas well integrity and methane migration: evaluation of published evidence during shale-gas development in the USA. Hydrogeology Journal.
PDF DOI ††Shaughnessy, A., Wen, T., Niu, X. and Brantley, S.L., 2019. Three Principles to Use in Streamlining Water Quality Research through Data Uniformity. Environmental Science & Technology.
PDF DOI Wen, T., ††Woda, J., ††Marcon, V., Niu, X., Li, Z. and Brantley, S.L., 2019. Exploring How to Use Groundwater Chemistry to Identify Migration of Methane near Shale Gas Wells in the Appalachian Basin. Environmental Science & Technology.
PDF DOI Liu, R., Heinemann, N., Liu, J., Zhu, W., Wilkinson, M., Xie, Y., Wang, Z., Wen, T., Hao, F., Haszeldine, S.R., 2019. CO2 Sequestration by Mineral Trapping in Natural Analogues in the Yinggehai Basin, South China Sea. Marine and Petroleum Geology.
PDF DOI Wen, T., ††Agarwal, A., Xue, L., ††Chen, A., Herman, A., Li, Z. and Brantley, S.L., 2019. Assessing Changes in Groundwater Chemistry in Landscapes with More than 100 Years of Oil and Gas Development. Environmental Science: Processes & Impacts.
PDF DOI ††Woda, J., Wen, T., ††Oakley, D., Yoxtheimer, D., Engelder, T., Castro, M.C. and Brantley, S.L., 2018. Detecting and Explaining Why Aquifers Occasionally Become Degraded Near Hydraulically Fractured Shale Gas Wells. Proceedings of the National Academy of Sciences.
PDF DOI Larson, T.E., Nicot, J.P., Mickler, P., Castro, M.C., Darvari, R., Wen, T. and Hall, C.M., 2018. Monitoring Stray Natural Gas in Groundwater with Dissolved Nitrogen. An Example from Parker County, Texas. Water Resources Research.
PDF DOI Wen, T., Niu, X., Gonzales, M., ††Zheng, G., Li, Z. and Brantley, S.L., 2018. Big groundwater data sets reveal possible rare contamination amid otherwise improved water quality for some analytes in a region of Marcellus Shale development. Environmental Science & Technology.
PDF DOI Niu, X., Wen, T., Li, Z. and Brantley, S.L., 2018. One Step toward Developing Knowledge from Numbers in Regional Analysis of Water Quality. Environmental Science & Technology.
PDF DOI Wen, T., Pinti, D.L., Castro, M.C., López-Hernández, A., Hall, C.M., Shouakar-Stash, O. and Sandoval-Medina, F., 2018. A Noble Gas and 87Sr/86Sr Study in Fluids of the Los Azufres Geothermal Field, Mexico – Assessing Impact of Exploitation and Constraining Heat Sources. Chemical Geology.
PDF DOI Brantley, S.L., Vidic, R.D., Brasier, K., Yoxtheimer, D., Pollak, J., Wilderman, C. and Wen, T., 2018. Engaging over data on fracking and water quality. Science.
PDF DOI Wen, T., Castro, M.C., Nicot, J.P., Hall, C.M., Pinti, D.L., Mickler, P., Darvari, R. and Larson, T., 2017. Characterizing the noble gas isotopic composition of the Barnett Shale and Strawn group and constraining the source of stray gas in the Trinity Aquifer, north-central Texas. Environmental Science & Technology.
PDF DOI Wen, T., Castro, M.C., Nicot, J.P., Hall, C.M., Larson, T., Mickler, P. and Darvari, R., 2016. Methane Sources and Migration Mechanisms in Shallow Groundwaters in Parker and Hood Counties, Texas - A Heavy Noble Gas Analysis. Environmental Science & Technology.
PDF DOI Wen, T., Castro, M.C., Ellis, B.R., Hall, C.M. and Lohmann, K.C., 2015. Assessing compositional variability and migration of natural gas in the Antrim Shale in the Michigan Basin using noble gas geochemistry. Chemical Geology.
PDF DOI Wen, T., Castro, M.C., Hall, C.M., Pinti, D.L. and Lohmann, K.C., 2015. Constraining groundwater flow in the Glacial Drift and Saginaw aquifers in the Michigan Basin through helium concentrations and isotopic ratios. Geofluids.
PDF DOI Boucher, C., Pinti, D.L., Roy, M., Castro, M.C., Cloutier, V., Blanchette, D., Larocque, M., Hall, C.M., Wen, T. and Sano, Y., 2015. Groundwater age investigation of eskers in the Amos region, Quebec, Canada. Journal of Hydrology.
PDF DOI Nie, Y., Liu, X., Wen, T., Sun, L. and Emslie, S.D., 2014. Environmental implication of nitrogen isotopic composition in ornithogenic sediments from the Ross Sea region, East Antarctica: Δ15N as a new proxy for avian influence. Chemical Geology.
PDF DOI
Chapters in Books
Wen, T., 2021. Data Mining. In: Daya Sagar, B.S., Cheng, Q., McKinley, J., Agterberg, F. (eds) Encyclopedia of Mathematical Geosciences. Springer, Cham, Switzerland. 4pp.
PDF DOI Wen, T., 2020. Data Sharing. In: Schintler L., McNeely C. (eds) Encyclopedia of Big Data. Springer, Cham, Switzerland. 3pp.
PDF DOI Wen, T., 2020. Data Aggregation. In: Schintler L., McNeely C. (eds) Encyclopedia of Big Data. Springer, Cham, Switzerland. 4pp.
PDF DOI
Reports and Theses
Baka, J., Brantley, S.L., Wen, T., Xue, L., ††Shaheen, S. and ††Harrington, O., 2025. Using Geoscientific Analysis and Community Engagement to Analyze Exposures to Potential Groundwater Contamination Related to Hydrocarbon Extraction in Southwestern Pennsylvania (Technical Report).
Report Wen, T., 2017. Development of Noble Gas Techniques to Fingerprint Shale Gas and to Trace Sources of Hydrocarbons in Groundwater (Doctoral dissertation, University of Michigan).
PDF Dissertation Nicot, JP., et al., 2015. Understanding and Managing Environmental Roadblocks to Shale Gas Development: An Analysis of Shallow Gas, NORM, and Trace Metals (Technical Report, http://www.rpsea.org/projects/11122-56/).
Wen, T., 2014. Constraining groundwater flow in the Glacial Drift and Saginaw Aquifers in the Michigan Basin through helium concentrations and isotopic ratios (Master’s thesis, University of Michigan).
Wen, T., 2011. Analysis on nitrogen species and isotopic composition of the ornithogenic sediments from Cape Bird, Ross Island, East Antarctica (Bachelor’s thesis, University of Science and Technology of China).
Conference materials
- Earth Science Information Partners and Geological Society of America, 2025. Data Help Desk @ GSA Connects 2025. The Geological Society of America Connects 2025 (GSA Connects 2025), San Antonio, Texas, USA. Zenodo.
DOI
Preprints and Postprints
Brantley, S.L., Wen, T., Agarwal, D., Catalano, J., Schroeder, P.A., Lehnert, K., Varadharajan, C., Pett-Ridge, J., Engle, M., Castronova, A.M. and Hooper, R., 2020. A Vision for the Future Low-Temperature Geochemical Data-scape. EarthArXiv.
DOI Shaughnessy, A.R., Gu, X., Wen, T. and Brantley, S.L., 2020. Machine Learning Deciphers CO2 Sequestration and Subsurface Flowpaths from Stream Chemistry. Hydrology and Earth System Sciences Discussions.
DOI Agarwal, A., Wen, T., Chen, A., Zhang, A.Y., Niu, X., Zhan, X., Xue, L., Brantley, S.L., 2020. Assessing Contamination of Stream Networks Near Shale Gas Development Using a New Geospatial Tool. EarthArXiv.
PDF Woda, J., Wen, T., Lemon, J., Marcon, V., Keeports, C.M., Zelt, F., Steffy, L.Y. and Brantley, S.L., 2020. Methane concentrations in streams reveal gas leak discharges in regions of oil, gas, and coal development. EarthArXiv.
PDF DOI Zheng, G., Liu, M., Wen, T., Wang, H., Yao, H., Brantley, S.L. and Li, Z., 2019. Targeted Source Detection for Environmental Data. arXiv preprint arXiv:1908.11056.
PDF DOI
Data and code
Wen, T., 2025. Datasets and codes for the peer review article E et al. (2025) “Predicting Salinity and Alkalinity Fluxes of U.S. Freshwater in a Changing Climate: Integrating Anthropogenic and Natural Influences Using Data-Driven Models”, HydroShare.
DOI Wen, T., 2024. Noble gases in Paleozoic shale fluids document tectonic events and fluid migration in the Upper Yangtze Block, Zenodo.
DOI Wen, T., 2023. Datasets and codes for the peer review article “Human and natural impacts on the U.S. freshwater salinization and alkalinization: A machine learning approach” (1.0), Zenodo.
DOI Wen, T., 2022. HANDS-Research-Group/HNN_Soil_Reaction_Front: Predicting Soil Reaction Front Using Hybrid Neural Network (v1.0.0), Zenodo.
DOI Wen, T. and Brantley, S.L., 2022. A snapshot of the entire Shale Network database as of June 2022, Data Commons, Penn State University.
DOI Shaheen, S.W., Wen, T., Herman, A. and Brantley, S.L., 2022. Geochemical Evidence of Potential Groundwater Contamination with Human Health Risks Where Hydraulic Fracturing Overlaps with Extensive Legacy Hydrocarbon Extraction, Data Commons, Penn State University.
DOI Wen, T., 2021. Sliding Window Geospatial Tool for Analyzing Geospatial Relationship in Earth and Environmental Sciences Data (v1.0), Zenodo.
DOI Wen, T. and Brantley, S.L., 2021. Archived Dataset for Wen et al. (2021) in Water Research, Data Commons, Penn State University.
DOI Wen, T. and Brantley, S.L., 2021. Shale Network database – A snapshot of the Entire Shale Network database as of March 2021, Data Commons, Penn State University.
DOI Wen, T. and Brantley, S.L., 2021. Shale Network – Production, Injection, and Flowback Water Geochemistry in shale gas development area in the northeastern USA as of March 2021, Data Commons, Penn State University.
DOI Wen, T., Woda, J., Marcon, V., Gonzales, M., Niu, X., Herman, A., Guarnieri, M., Li, Z., Brantley, S.L., 2019. Shale Network – Statewide Groundwater in Pennsylvania as of January 2019, Data Commons, Penn State University.
DOI Wen, T., Niu, X., Herman, A., Guarnieri, M., Li, Z. and Brantley, S.L., 2019. Shale Network – Statewide Surface in Pennsylvania as of February 2018, Data Commons, Penn State University.
DOI Wen, T., Gonzales, M., Niu, X., Herman, A., Guarnieri, M., Li, Z., Brantley, S.L., 2018. Shale Network – Mercer County Groundwater as of August 2018, Data Commons, Penn State University.
DOI Wen, T., Woda, J., Gonzales, M., Herman, A., Brantley, S.L., 2018. Shale Network – Lycoming County Groundwater as of October 2018, Data Commons, Penn State University.
DOI Wen, T., Gonzales, M., Niu, X., Herman, A., Guarnieri, M., Li, Z., Brantley, S.L., 2018. Shale Network – Bradford County Groundwater as of May 2018, Data Commons, Penn State University.
DOI