Haochen Chen
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
-
- Petroleum Processing and Analysis 3
-
- Advanced Graph Neural Networks 5
- Co-authors
- Steven Skiena (7 shared papers)Bryan Perozzi (4 shared papers)Yifan Hu (1 shared paper)Vivek Kulkarni (1 shared paper)Muhao Chen (4 shared papers)Ting Liu (1 shared paper)Yiheng Chen (1 shared paper)Xiao Ding (1 shared paper)
- Journals
- Fuel (2 papers)Journal of Cheminformatics (1 paper)Journal of Power Sources (1 paper)Organic Geochemistry (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haochen Chen
16 papers receiving 558 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 349
- Drug Discovery 1
- Statistical and Nonlinear Physics 31
- Information Systems 44
- Economics and Econometrics 45
Countries citing papers authored by Haochen Chen
This map shows the geographic impact of Haochen 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 Haochen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haochen Chen more than expected).
Fields of papers citing papers by Haochen Chen
This network shows the impact of papers produced by Haochen 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 Haochen Chen. The network helps show where Haochen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Haochen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 250 | |
| 2 | 2017 | 124 | |
| 3 | 2014 | 64 | |
| 4 | 2019 | 53 | |
| 5 | 2019 | 15 | |
| 6 | 2024 | 12 | |
| 7 | 2019 | 8 | |
| 8 | 2024 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2017 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2019 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 0 |
About Haochen Chen
Haochen Chen is a scholar working on Analytical Chemistry, Artificial Intelligence, Mechanics of Materials, Fluid Flow and Transfer Processes and Complementary and alternative medicine, having authored 17 papers that have together received 567 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (5 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Petroleum Processing and Analysis (3 papers), Advanced Combustion Engine Technologies (2 papers), Molecular spectroscopy and chirality (1 paper), Forecasting Techniques and Applications (1 paper), Metamaterials and Metasurfaces Applications (1 paper) and Paleontology and Stratigraphy of Fossils (1 paper). The work is most often cited by research in Artificial Intelligence (349 citations), Drug Discovery (1 citation), Statistical and Nonlinear Physics (31 citations), Information Systems (44 citations) and Economics and Econometrics (45 citations). Haochen Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Steven Skiena, Bryan Perozzi, Yifan Hu, Vivek Kulkarni, Muhao Chen, Ting Liu, Yiheng Chen, Xiao Ding, Syed Fahad Sultan and Meijun Li. Their work appears in journals such as Fuel, Journal of Cheminformatics, Journal of Power Sources, Organic Geochemistry and Multimedia Tools and Applications.
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.