将尚 渡辺

31 total papers · 566 total citations
5 papers, 238 citations indexed

About

将尚 渡辺 is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, 将尚 渡辺 has authored 5 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in 将尚 渡辺's work include Web Data Mining and Analysis (3 papers), Information Retrieval and Search Behavior (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper) 将尚 渡辺 is often cited by papers focused on Web Data Mining and Analysis (3 papers), Information Retrieval and Search Behavior (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper) 将尚 渡辺 collaborates with scholars based in China, United States and United Kingdom 将尚 渡辺's co-authors include Bin Wang, Hanjun Dai, Chang Xu, Yuyu Zhang, Jun Feng, Taifeng Wang, Tie‐Yan Liu, Xuhong Li, Haoyi Xiong and Yuchen Li and has published in prestigious journals such as Nature Machine Intelligence, IEEE Transactions on Services Computing and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

将尚 渡辺

5 papers receiving 229 citations

Author Peers

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

Author Last Decade Papers Cites
将尚 渡辺 149 97 60 46 25 5 238
Victor E. Lee 106 0.7× 97 1.0× 45 0.8× 15 0.3× 8 0.3× 8 187
Chih-Ming Chen 158 1.1× 149 1.5× 34 0.6× 18 0.4× 14 0.6× 12 208
Zhongfei Mark Zhang 77 0.5× 140 1.4× 81 1.4× 12 0.3× 14 0.6× 9 230
Augusto Pucci 267 1.8× 211 2.2× 57 0.9× 17 0.4× 6 0.2× 8 325
Aghiles Salah 206 1.4× 178 1.8× 107 1.8× 19 0.4× 5 0.2× 14 301
Junshuai Song 198 1.3× 201 2.1× 62 1.0× 20 0.4× 4 0.2× 11 309
Sheetal Girase 229 1.5× 119 1.2× 89 1.5× 15 0.3× 4 0.2× 14 295
Young Ok Kwon 165 1.1× 117 1.2× 32 0.5× 8 0.2× 9 0.4× 9 305
Kun Zhang 197 1.3× 169 1.7× 47 0.8× 14 0.3× 3 0.1× 9 257
Jan Vosecky 171 1.1× 176 1.8× 22 0.4× 21 0.5× 5 0.2× 12 297

Countries citing papers authored by 将尚 渡辺

Since Specialization
Citations

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

Fields of papers citing papers by 将尚 渡辺

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of 将尚 渡辺

This figure shows the co-authorship network connecting the top 25 collaborators of 将尚 渡辺. A scholar is included among the top collaborators of 将尚 渡辺 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 将尚 渡辺. 将尚 渡辺 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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2026