Guangwei Xu

48 total papers · 864 total citations
21 papers, 359 citations indexed

About

Guangwei Xu is a scholar working on Artificial Intelligence, Surgery and Computer Networks and Communications. According to data from OpenAlex, Guangwei Xu has authored 21 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Surgery and 3 papers in Computer Networks and Communications. Recurrent topics in Guangwei Xu's work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Text and Document Classification Technologies (4 papers). Guangwei Xu is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Text and Document Classification Technologies (4 papers). Guangwei Xu collaborates with scholars based in China, United States and Cayman Islands. Guangwei Xu's co-authors include Pengjun Xie, Ning Ding, Hai-Tao Zheng, Yulin Chen, Xu Han, Zhiyuan Liu, Xiaobin Wang, Dingkun Long, Jie Zhou and Chunping Ma and has published in prestigious journals such as Scientific Reports, Foot & Ankle International and BMC Musculoskeletal Disorders.

In The Last Decade

Guangwei Xu

18 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
Guangwei Xu 323 45 39 29 13 21 359
Sarthak Jain 306 0.9× 30 0.7× 93 2.4× 14 0.5× 23 1.8× 20 399
Runxin Xu 336 1.0× 42 0.9× 47 1.2× 36 1.2× 29 2.2× 17 374
Jingyun Xu 298 0.9× 52 1.2× 30 0.8× 44 1.5× 9 0.7× 19 348
Meng Zhao 309 1.0× 45 1.0× 61 1.6× 8 0.3× 19 1.5× 32 367
Parth Gupta 269 0.8× 55 1.2× 41 1.1× 16 0.6× 5 0.4× 30 319
Alexander R. Fabbri 310 1.0× 45 1.0× 29 0.7× 9 0.3× 41 3.2× 20 371
Le Sun 285 0.9× 61 1.4× 28 0.7× 33 1.1× 17 1.3× 25 352
Sudipta Kar 326 1.0× 41 0.9× 28 0.7× 39 1.3× 28 2.2× 20 360
Yassine Benajiba 326 1.0× 31 0.7× 26 0.7× 19 0.7× 8 0.6× 30 345
Dianbo Sui 332 1.0× 49 1.1× 39 1.0× 56 1.9× 26 2.0× 25 376

Countries citing papers authored by Guangwei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Guangwei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangwei Xu

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