Haochen Chen
Impact in
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- Complex Network Analysis Techniques
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
Papers in
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- Hydrocarbon exploration and reservoir analysis 4
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- Advanced Graph Neural Networks 3
- Natural Language Processing Techniques 1
- Co-authors
- Steven Skiena (4 shared papers)Bryan Perozzi (2 shared papers)Yifan Hu (1 shared paper)Vivek Kulkarni (1 shared paper)Xiao Ding (1 shared paper)Ting Liu (1 shared paper)Yiheng Chen (1 shared paper)Yingtao Tian (2 shared papers)
- Journals
- Fuel (2 papers)Energy Exploration & Exploitation (1 paper)Organic Geochemistry (1 paper)BMC Complementary and Alternative Medicine (1 paper)Journal of Cheminformatics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haochen Chen
13 papers receiving 400 citations
Peers
Comparison fields: 5 of 85
- Statistical and Nonlinear Physics 186
- Artificial Intelligence 278
- Computer Vision and Pattern Recognition 66
- Visual Arts and Performing Arts 15
- Information Systems 53
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 | 181 | |
| 2 | 2017 | 94 | |
| 3 | 2014 | 54 | |
| 4 | 2019 | 37 | |
| 5 | 2019 | 14 | |
| 6 | 2024 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 1 |
About Haochen Chen
Haochen Chen is a scholar working on Mechanics of Materials, Artificial Intelligence, Statistical and Nonlinear Physics, Analytical Chemistry and Computational Mechanics, having authored 13 papers that have together received 411 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (4 papers), Advanced Graph Neural Networks (3 papers), Petroleum Processing and Analysis (3 papers), Complex Network Analysis Techniques (3 papers), Heat transfer and supercritical fluids (2 papers), Cancer Treatment and Pharmacology (1 paper), Molecular spectroscopy and chirality (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (186 citations), Artificial Intelligence (278 citations), Computer Vision and Pattern Recognition (66 citations), Visual Arts and Performing Arts (15 citations) and Information Systems (53 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, Xiao Ding, Ting Liu, Yiheng Chen, Yingtao Tian, Muhao Chen and Syed Fahad Sultan. Their work appears in journals such as Fuel, Energy Exploration & Exploitation, Organic Geochemistry, BMC Complementary and Alternative Medicine and Journal of Cheminformatics.
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.