Gaole He
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Explainable Artificial Intelligence (XAI)
Papers in
-
- Ethics and Social Impacts of AI 4
- Co-authors
- Wayne Xin ZhaoJi-Rong WenJinhao JiangUjwal GadirajuJing JiangYunshi LanJin HuangHongjian Dou
- Journals
- Journal of Artificial Intelligence Research (1 paper)Data Intelligence (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Research Repository (Delft University of Technology) (3 papers)
- Partner nations
- NetherlandsChinaSingapore
In The Last Decade
Gaole He
15 papers receiving 348 citations
Peers
Comparison fields: 5 of 49
- Health Informatics 14
- Artificial Intelligence 308
- Information Systems 131
- General Decision Sciences 7
- Safety Research 28
Countries citing papers authored by Gaole He
This map shows the geographic impact of Gaole He'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 Gaole He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaole He more than expected).
Fields of papers citing papers by Gaole He
This network shows the impact of papers produced by Gaole He. 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 Gaole He. The network helps show where Gaole He may publish in the future.
Co-authors
The 25 scholars most cited alongside Gaole He, 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 | 2024 | 14 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 51 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 76 | |
| 13 | 2020 | 16 | |
| 14 | 2019 | 66 | |
| 15 | 2019 | 51 |
About Gaole He
Gaole He is a scholar working on General Decision Sciences, Safety Research, Artificial Intelligence, Software and Ecological Modeling, having authored 15 papers that have together received 360 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Explainable Artificial Intelligence (XAI) (6 papers), Advanced Graph Neural Networks (5 papers), Ethics and Social Impacts of AI (4 papers), Natural Language Processing Techniques (4 papers), Recommender Systems and Techniques (3 papers), Human-Automation Interaction and Safety (3 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Health Informatics (14 citations), Artificial Intelligence (308 citations), Information Systems (131 citations), General Decision Sciences (7 citations) and Safety Research (28 citations). Gaole He has collaborated with scholars based in Netherlands, China and Singapore. Frequent co-authors include Wayne Xin Zhao, Ji-Rong Wen, Jinhao Jiang, Ujwal Gadiraju, Jing Jiang, Yunshi Lan, Jin Huang, Hongjian Dou, Daxiang Dong and Zhaochun Ren. Their work appears in journals such as Journal of Artificial Intelligence Research, Data Intelligence, IEEE Transactions on Knowledge and Data Engineering, Proceedings of the ACM on Human-Computer Interaction and Research Repository (Delft University of Technology).
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.