Rongbo Wang

77 total papers · 434 total citations
34 papers, 318 citations indexed

About

Rongbo Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Rongbo Wang has authored 34 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Rongbo Wang's work include Natural Language Processing Techniques (11 papers), Topic Modeling (8 papers) and Mathematical Analysis and Transform Methods (4 papers). Rongbo Wang is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (8 papers) and Mathematical Analysis and Transform Methods (4 papers). Rongbo Wang collaborates with scholars based in China, Hong Kong and Japan. Rongbo Wang's co-authors include Gaige Chen, Xianguang Kong, Qibin Wang, Han Cheng, Zhiqun Chen, Fumiyo Fukumoto, Jiyi Li, Chaohuan Hou, Jun Yang and Jian Zhao and has published in prestigious journals such as IEEE Access, Sensors and Frontiers in Plant Science.

In The Last Decade

Rongbo Wang

28 papers receiving 298 citations

Author Peers

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

Author Last Decade Papers Cites
Rongbo Wang 146 94 79 40 36 34 318
Wen Cao 81 0.6× 18 0.2× 106 1.3× 6 0.1× 8 0.2× 34 272
Jiankai Zuo 107 0.7× 56 0.6× 44 0.6× 15 0.4× 38 342
Yinghui Kong 46 0.3× 48 0.5× 38 0.5× 10 0.3× 13 0.4× 35 294
Xiuting Li 157 1.1× 38 0.4× 70 0.9× 15 0.4× 1 0.0× 25 343
Shuang Gao 84 0.6× 12 0.1× 54 0.7× 4 0.1× 16 0.4× 40 309
Haodong Zhao 47 0.3× 50 0.5× 61 0.8× 31 0.8× 36 285
Karla Figueiredo 58 0.4× 33 0.4× 94 1.2× 5 0.1× 18 0.5× 44 265
Kranthi Kumar Deveerasetty 131 0.9× 38 0.4× 37 0.5× 3 0.1× 29 0.8× 22 345
Hui Luo 63 0.4× 9 0.1× 144 1.8× 6 0.1× 35 1.0× 30 288
Wen-Chang Cheng 36 0.2× 14 0.1× 81 1.0× 11 0.3× 11 0.3× 29 357

Countries citing papers authored by Rongbo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Rongbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rongbo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Rongbo Wang. A scholar is included among the top collaborators of Rongbo Wang 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 Rongbo Wang. Rongbo Wang 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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