Yongbin Li

1.9k citations
103 papers · 859 · h-index 16

Impact in

Papers in

Yongbin Li

93 papers receiving 841 citations

Peers

Yongbin Li
Comparison fields: 5 of 137
  • Artificial Intelligence 430
  • Applied Microbiology and Biotechnology 15
  • Experimental and Cognitive Psychology 67
  • Computer Vision and Pattern Recognition 101
  • Finance 48
Replace Ziwei Zhu with:
Ziwei Zhu United States
Tong Wang China
Vibhakar Mansotra India
Rajesh Sharma Estonia
Md Khairul Islam Bangladesh
Reem Alotaibi Saudi Arabia
Nor Kamariah Noordin Malaysia
Zeyu Zheng United States
Antonio Martínez-Millana Spain
Ioannis Korkontzelos United Kingdom
Yongbin Li relative to Ziwei Zhu United States Ziwei Zhu's profile →
Citations per field
00.5×6.1×
Ziwei Zhu · 1×
Citations per year

Countries citing papers authored by Yongbin Li

Since Specialization
Citations

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

Fields of papers citing papers by Yongbin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yongbin Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yongbin Li Line = papers co-authored together Yongbin Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022103
2 202060
3 202248
4 201638
5 202332
6 201031
7 202329
8 202327
9 201526
10 202126
11 202326
12 202225
13 202021
14 202219
15 201417
16 202416
17 202415
18 202315
19 201012
20 202111

About Yongbin Li

Yongbin Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Surgery and Biomedical Engineering, having authored 103 papers that have together received 859 indexed citations. Recurring topics across this work include Topic Modeling (43 papers), Natural Language Processing Techniques (33 papers), Speech and dialogue systems (17 papers), Multimodal Machine Learning Applications (12 papers), Sentiment Analysis and Opinion Mining (7 papers), Healthcare Systems and Reforms (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Global Maternal and Child Health (4 papers). The work is most often cited by research in Artificial Intelligence (430 citations), Applied Microbiology and Biotechnology (15 citations), Experimental and Cognitive Psychology (67 citations), Computer Vision and Pattern Recognition (101 citations) and Finance (48 citations). Yongbin Li has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Yuchuan Wu, Ting-En Lin, Fei Huang, Luo Si, Jian Sun, Guangming Lu, Yi Zhao, Fei Huang, Binyuan Hui and Min Yang. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Journal of Intelligent & Fuzzy Systems, International Journal of Surgery, Health Policy and Planning and Knowledge-Based Systems.

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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