Ruixiang Tang

77 total papers · 1.4k total citations
28 papers, 511 citations indexed

About

Ruixiang Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ruixiang Tang has authored 28 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ruixiang Tang's work include Topic Modeling (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Machine Learning in Healthcare (3 papers). Ruixiang Tang is often cited by papers focused on Topic Modeling (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Machine Learning in Healthcare (3 papers). Ruixiang Tang collaborates with scholars based in United States, China and Spain. Ruixiang Tang's co-authors include Xia Hu, Qizhang Feng, Hongye Jin, Bing Yin, Haoming Jiang, Jingfeng Yang, Xiaotian Han, Shaochen Zhong, Mengnan Du and Ninghao Liu and has published in prestigious journals such as Communications of the ACM, Sensors and Chemical Engineering Science.

In The Last Decade

Ruixiang Tang

25 papers receiving 494 citations

Hit Papers

Harnessing the Power of L... 2024 2026 2024 2024 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Ruixiang Tang 308 80 66 56 43 28 511
Rajiv Khanna 342 1.1× 89 1.1× 76 1.2× 38 0.7× 31 0.7× 17 483
Ning Xie 266 0.9× 102 1.3× 44 0.7× 19 0.3× 37 0.9× 20 580
Tong Yu 224 0.7× 181 2.3× 92 1.4× 37 0.7× 33 0.8× 58 587
David Alonso-Ríos 196 0.6× 51 0.6× 92 1.4× 57 1.0× 15 0.3× 22 550
Chengwei Qin 363 1.2× 63 0.8× 61 0.9× 64 1.1× 14 0.3× 34 585
Hao Peng 250 0.8× 56 0.7× 60 0.9× 27 0.5× 15 0.3× 21 531
Bing Yin 353 1.1× 100 1.3× 110 1.7× 30 0.5× 38 0.9× 36 510
Ivano Lauriola 259 0.8× 79 1.0× 64 1.0× 18 0.3× 28 0.7× 17 490
Sajid Ullah Khan 157 0.5× 90 1.1× 53 0.8× 41 0.7× 26 0.6× 38 463
Mohaimenul Azam Khan Raiaan 220 0.7× 87 1.1× 40 0.6× 37 0.7× 21 0.5× 25 545

Countries citing papers authored by Ruixiang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ruixiang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruixiang Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruixiang Tang. A scholar is included among the top collaborators of Ruixiang Tang 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 Ruixiang Tang. Ruixiang Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026