Bowei He

59 total papers · 516 total citations
17 papers, 220 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 220 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 Shuo Gao, Yixuan Wang, Jin Cao, Xiangyang Zhu, Peng Gao, Shanghang Zhang, Ziyu Guo, Chen Ma, Aojun Zhou and Dong Wang 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 219 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bowei He	95	61	49	45	24	17	220
Wenzhao Lian	58 0.6×	99 1.6×	47 1.0×	101 2.2×	17 0.7×	19	314
Zaiyang Yu	52 0.5×	141 2.3×	25 0.5×	63 1.4×	7 0.3×	20	303
Rinku Roy	72 0.8×	34 0.6×	128 2.6×	80 1.8×	62 2.6×	19	296
Wei Hown Tee	77 0.8×	43 0.7×	56 1.1×	108 2.4×	19 0.8×	17	325
Farzana Kulsoom	43 0.5×	93 1.5×	47 1.0×	101 2.2×	10 0.4×	25	311
Tsorng-Lin Chia	115 1.2×	154 2.5×	90 1.8×	15 0.3×	42 1.8×	28	324
Qingjun Wang	28 0.3×	62 1.0×	75 1.5×	51 1.1×	13 0.5×	16	264
Saeed Akbarzadeh	55 0.6×	66 1.1×	82 1.7×	55 1.2×	4 0.2×	13	286
Chungki Lee	42 0.4×	65 1.1×	42 0.9×	16 0.4×	30 1.3×	12	304
Amir M. Abdulghani	62 0.7×	42 0.7×	43 0.9×	41 0.9×	14 0.6×	16	276

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

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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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