Bowei He

526 total citations
17 papers, 237 citations indexed

About

Bowei He is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bowei He has authored 17 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bowei He's work include Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (4 papers) and Topic Modeling (3 papers). Bowei He is often cited by papers focused on Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (4 papers) and Topic Modeling (3 papers). Bowei He collaborates with scholars based in China, Hong Kong and United States. Bowei He's co-authors include Jin Cao, Yixuan Wang, Shuo Gao, Xiangyang Zhu, Peng Gao, Ziyu Guo, Shanghang Zhang, Chen Ma, Dong Wang and Aojun Zhou and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and IEEE Robotics and Automation Letters.

In The Last Decade

Bowei He

14 papers receiving 236 citations

Peers

Bowei He
Tsorng-Lin Chia Taiwan
Dimitrios Rodopoulos Greece
Stanislav Panev United States
Tianshi Gao China
Fan He China
Dov Katz United States
Muhammad Adeel Asghar Pakistan
Hanchao Yu China
Hong Qiao China
Tsorng-Lin Chia Taiwan
Bowei He
Citations per year, relative to Bowei He Bowei He (= 1×) peers Tsorng-Lin Chia

Countries citing papers authored by Bowei He

Since Specialization
Citations

This map shows the geographic impact of Bowei 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 Bowei He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bowei He more than expected).

Fields of papers citing papers by Bowei He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bowei 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 Bowei He. The network helps show where Bowei He may publish in the future.

Co-authorship network of co-authors of Bowei He

This figure shows the co-authorship network connecting the top 25 collaborators of Bowei He. A scholar is included among the top collaborators of Bowei He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bowei He. Bowei He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Zhang, Xiaokun, Bo Xu, Chenliang Li, et al.. (2025). A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. IEEE Transactions on Knowledge and Data Engineering. 37(8). 4411–4431.
2.
He, Bowei, Shiqi Shen, Zhipeng Wang, et al.. (2024). Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables. IEEE Transactions on Knowledge and Data Engineering. 37(2). 910–922. 3 indexed citations
3.
Zhu, Xiangyang, Bowei He, Ziyu Guo, et al.. (2024). No Time to Train: Empowering Non-Parametric Networks for Few-Shot 3D Scene Segmentation. 3838–3847. 4 indexed citations
4.
5.
He, Bowei, et al.. (2024). Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. 5093–5104. 2 indexed citations
6.
Zhang, Yansen, et al.. (2024). Result Diversification in Search and Recommendation: A Survey. IEEE Transactions on Knowledge and Data Engineering. 36(10). 5354–5373. 5 indexed citations
7.
He, Bowei, Wei Shao, Yanlin Qi, et al.. (2024). RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. ACM Transactions on Information Systems. 43(5). 1–31. 5 indexed citations
8.
He, Bowei, Minglin Ma, Jiakai Tang, et al.. (2023). Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. 2 indexed citations
9.
Zhu, Xiangyang, Bowei He, Aojun Zhou, et al.. (2023). Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. 2605–2615. 27 indexed citations
10.
He, Bowei, et al.. (2023). Dynamically Expandable Graph Convolution for Streaming Recommendation. arXiv (Cornell University). 1457–1467. 13 indexed citations
11.
12.
Zhu, Xiangyang, et al.. (2023). PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning. 2639–2650. 60 indexed citations
13.
14.
Zhao, Zhenting, et al.. (2022). Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems. IEEE Robotics and Automation Letters. 7(4). 10985–10990. 1 indexed citations
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17.
Shi, Chuan, et al.. (2016). Expenditure aware rating prediction for recommendation. 1018–1025.

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.

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2026