Junshi Tang
Impact in
- Analytical Chemistry top 2%
- Petroleum Processing and Analysis
- Ocean Engineering top 5%
- Enhanced Oil Recovery Techniques
- Reservoir Engineering and Simulation Methods
Papers in
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- Petroleum Processing and Analysis 18
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- Hydrocarbon exploration and reservoir analysis 16
- Co-authors
- Qiang Song (6 shared papers)Ruonan Zheng (5 shared papers)Qiang Yao (3 shared papers)Dong Liu (3 shared papers)Guan Wenlong (9 shared papers)Qiu Li (4 shared papers)Changfeng Xi (4 shared papers)Pengcheng Liu (3 shared papers)
In The Last Decade
Junshi Tang
21 papers receiving 355 citations
Peers
Comparison fields: 5 of 39
- Analytical Chemistry 230
- Ocean Engineering 204
- Mechanics of Materials 226
- Fuel Technology 3
- Energy Engineering and Power Technology 8
Countries citing papers authored by Junshi Tang
This map shows the geographic impact of Junshi Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junshi Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junshi Tang more than expected).
Fields of papers citing papers by Junshi Tang
This network shows the impact of papers produced by Junshi Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junshi Tang. The network helps show where Junshi Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junshi Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 64 | |
| 2 | 2022 | 49 | |
| 3 | 2019 | 27 | |
| 4 | 2020 | 25 | |
| 5 | 2022 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2018 | 22 | |
| 8 | 2017 | 17 | |
| 9 | 2022 | 17 | |
| 10 | 2018 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2020 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 3 |
About Junshi Tang
Junshi Tang is a scholar working on Analytical Chemistry, Mechanics of Materials, Ocean Engineering, Biomedical Engineering and Mechanical Engineering, having authored 21 papers that have together received 359 indexed citations. Recurring topics across this work include Petroleum Processing and Analysis (18 papers), Hydrocarbon exploration and reservoir analysis (16 papers), Enhanced Oil Recovery Techniques (11 papers), Thermochemical Biomass Conversion Processes (5 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers), Subcritical and Supercritical Water Processes (2 papers), Thermal and Kinetic Analysis (1 paper) and Catalysis and Oxidation Reactions (1 paper). The work is most often cited by research in Analytical Chemistry (230 citations), Ocean Engineering (204 citations), Mechanics of Materials (226 citations), Fuel Technology (3 citations) and Energy Engineering and Power Technology (8 citations). Junshi Tang has collaborated with scholars based in China and Canada. Frequent co-authors include Qiang Song, Ruonan Zheng, Qiang Yao, Dong Liu, Guan Wenlong, Qiu Li, Changfeng Xi, Pengcheng Liu, Dong Liu and Jingjun Pan. Their work appears in journals such as Petroleum Exploration and Development, Journal of Petroleum Science and Engineering, Fuel, Energy & Fuels and Geofluids.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.