将尚 渡辺

582 total citations
5 papers, 242 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 242 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), Advanced Image and Video Retrieval Techniques (1 paper) and Information Retrieval and Search Behavior (1 paper) 将尚 渡辺 is often cited by papers focused on Web Data Mining and Analysis (3 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Information Retrieval and Search Behavior (1 paper) 将尚 渡辺 collaborates with scholars based in China, United Kingdom and United States 将尚 渡辺's co-authors include Taifeng Wang, Yuyu Zhang, Jun Feng, Tie‐Yan Liu, Hanjun Dai, Chang Xu, Bin Wang, Yuchen Li, Haoyi Xiong and Xuhong 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 232 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
将尚 渡辺 China 4 150 98 60 46 28 5 242
Paolo Rosso Switzerland 7 87 0.6× 182 1.9× 45 0.8× 95 2.1× 26 0.9× 16 292
Bangzuo Zhang China 9 164 1.1× 198 2.0× 49 0.8× 14 0.3× 16 0.6× 27 287
Jiankai Sun United States 9 175 1.2× 149 1.5× 33 0.6× 11 0.2× 18 0.6× 12 250
Menghan Wang China 8 116 0.8× 91 0.9× 38 0.6× 21 0.5× 7 0.3× 32 204
Roberto Mirizzi Italy 7 268 1.8× 240 2.4× 66 1.1× 9 0.2× 26 0.9× 16 353
Mariam Daoud France 9 175 1.2× 143 1.5× 78 1.3× 13 0.3× 29 1.0× 18 275
Renato Fileto Brazil 9 111 0.7× 199 2.0× 31 0.5× 50 1.1× 28 1.0× 49 362
Aghiles Salah Singapore 10 210 1.4× 181 1.8× 107 1.8× 19 0.4× 5 0.2× 14 305
Haoruo Peng United States 12 49 0.3× 386 3.9× 62 1.0× 61 1.3× 22 0.8× 21 471

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

5 of 5 papers shown
1.
Xiong, Haoyi, 将尚 渡辺, Yuchen Li, et al.. (2024). When Search Engine Services Meet Large Language Models: Visions and Challenges. IEEE Transactions on Services Computing. 17(6). 4558–4577. 19 indexed citations
2.
渡辺, 将尚, Yuchen Li, Xuhong Li, et al.. (2024). Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning. Nature Machine Intelligence. 6(5). 548–557. 33 indexed citations
3.
Wang, Qingzhong, Haifang Li, Haoyi Xiong, et al.. (2024). A Simple yet Effective Framework for Active Learning to Rank. 21(1). 169–183. 2 indexed citations
4.
Zhang, Yuyu, Hanjun Dai, Chang Xu, et al.. (2014). Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 184 indexed citations
5.
渡辺, 将尚 & Yi Chang. (2011). A taxonomy of local search. 2425–2428. 4 indexed citations

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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