Chong Chen
Impact in
- Catalysis top 5%
- Catalysis and Oxidation Reactions
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
Papers in
-
- Advanced Algorithms and Applications 5
- Advanced Sensor and Control Systems 4
-
- Catalytic Processes in Materials Science 10
- Co-authors
- Yuan Pan (11 shared papers)Yaru Xue (4 shared papers)Chao Feng (9 shared papers)Han Zhou (2 shared papers)Wei He (2 shared papers)Yunqi Liu (5 shared papers)Yunqi Liu (6 shared papers)Yukun Lu (6 shared papers)
- Journals
- Chemical Engineering Journal (3 papers)Applied Catalysis B: Environmental (2 papers)Fuel (2 papers)Journal of Colloid and Interface Science (2 papers)Applied Surface Science (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Chong Chen
47 papers receiving 770 citations
Peers
Comparison fields: 5 of 88
- Catalysis 262
- Environmental Engineering 152
- Water Science and Technology 130
- Renewable Energy, Sustainability and the Environment 147
- Materials Chemistry 364
Countries citing papers authored by Chong Chen
This map shows the geographic impact of Chong Chen'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 Chong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Chen more than expected).
Fields of papers citing papers by Chong Chen
This network shows the impact of papers produced by Chong Chen. 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 Chong Chen. The network helps show where Chong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chong Chen, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 153 | |
| 2 | 2023 | 83 | |
| 3 | 2019 | 72 | |
| 4 | 2022 | 65 | |
| 5 | 2023 | 55 | |
| 6 | 2022 | 50 | |
| 7 | 2021 | 35 | |
| 8 | 2022 | 32 | |
| 9 | 2023 | 25 | |
| 10 | 2020 | 23 | |
| 11 | 2022 | 22 | |
| 12 | 2020 | 19 | |
| 13 | 2023 | 19 | |
| 14 | 2023 | 18 | |
| 15 | 2017 | 12 | |
| 16 | 2020 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2008 | 5 | |
| 20 | 2022 | 5 |
About Chong Chen
Chong Chen is a scholar working on Control and Systems Engineering, Materials Chemistry, Catalysis, Electrical and Electronic Engineering and Mechanical Engineering, having authored 49 papers that have together received 781 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (10 papers), Catalysis and Oxidation Reactions (6 papers), Hydrological Forecasting Using AI (5 papers), Advanced Algorithms and Applications (5 papers), Gas Sensing Nanomaterials and Sensors (5 papers), Advanced Sensor and Control Systems (4 papers), Hydrology and Watershed Management Studies (4 papers) and Advanced Photocatalysis Techniques (3 papers). The work is most often cited by research in Catalysis (262 citations), Environmental Engineering (152 citations), Water Science and Technology (130 citations), Renewable Energy, Sustainability and the Environment (147 citations) and Materials Chemistry (364 citations). Chong Chen has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Yuan Pan, Yaru Xue, Chao Feng, Han Zhou, Wei He, Yunqi Liu, Yunqi Liu, Yukun Lu, Xuebing Li and Zhaoyang Fei. Their work appears in journals such as Chemical Engineering Journal, Applied Catalysis B: Environmental, Fuel, Journal of Colloid and Interface Science and Applied Surface Science.
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.