Shuhuai Ren

1.1k citations
14 papers · 477 indexed · 1 hit paper · h-index 8
Topics
Topic Modeling (6 papers)Multimodal Machine Learning Applications (5 papers)Natural Language Processing Techniques (3 papers)
Journals
The Electronic LibraryProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Partner nations
ChinaSwedenHong Kong

In The Last Decade

Shuhuai Ren

12 papers receiving 463 citations

Hit Papers

Generating Natural Language Adversarial Examples through ...20192026202120232019100200300

Peers

Shuhuai Ren
Comparison fields: 5 of 52
  • Artificial Intelligence 404
  • Signal Processing 106
  • Computer Vision and Pattern Recognition 99
  • Information Systems 52
  • Sociology and Political Science 34
Replace Sahar Abdelnabi with:
Sahar Abdelnabi Germany
John X. Morris United States
Eli Lifland United States
Tavish Vaidya United States
Jin Yong Yoo United States
Ruotian Ma China
Shuohuan Wang China
Panupong Pasupat United States
Dingfan Chen Germany
Sajjadur Rahman United States
Shuhuai Ren relative to Sahar Abdelnabi Germany Sahar Abdelnabi's profile →
Citations per field
00.5×7.5×
Sahar Abdelnabi · 1×
Citations per year

Countries citing papers authored by Shuhuai Ren

Since Specialization
Citations

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

Fields of papers citing papers by Shuhuai Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhuai Ren

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

All Works

14 of 14 papers shown
#WorkIndexed citations
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3 7
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5 25
6 1
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8 8
9 12
10 19
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Generating Natural Language Adversarial Examples through Probability Weighted Word Saliencybreakdown →
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About Shuhuai Ren

Shuhuai Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 14 papers that have together received 477 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (404 citations), Signal Processing (106 citations) and Computer Vision and Pattern Recognition (99 citations). Shuhuai Ren has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Kun He, Yihe Deng, Wanxiang Che, Xu Sun, Lei Li, Linli Yao, Lu Hou, Haiqing Lin, Jialin Cao and Shicheng Li. Their work appears in journals such as The Electronic Library and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

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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