Yinghui Li

667 total citations
40 papers, 306 citations indexed

About

Yinghui Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Yinghui Li has authored 40 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Language and Linguistics. Recurrent topics in Yinghui Li's work include Topic Modeling (21 papers), Natural Language Processing Techniques (17 papers) and Text Readability and Simplification (4 papers). Yinghui Li is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (17 papers) and Text Readability and Simplification (4 papers). Yinghui Li collaborates with scholars based in China, United States and United Kingdom. Yinghui Li's co-authors include Ying Shen, Hai-Tao Zheng, Yangning Li, Junxin Li, Min Yang, Haifan Gong, Chuan Zhang, Jiliang Wang, Yu‐Xin Tian and Qingyu Zhou and has published in prestigious journals such as Automatica, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Yinghui Li

36 papers receiving 297 citations

Peers

Yinghui Li
Comparison fields: 5 of 75
  • Artificial Intelligence 185
  • Information Systems 46
  • Computer Vision and Pattern Recognition 45
  • Management Science and Operations Research 36
  • Computer Networks and Communications 28
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Yun-Cheng Wang United States
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Hyuckchul Jung United States
Khuyagbaatar Batsuren Italy
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Azhana Ahmad Malaysia View profile →
Citations per field, relative to Yinghui Li
Yinghui Li · 1×
Citations per year, relative to Yinghui Li
Yinghui Li · 1×

Countries citing papers authored by Yinghui Li

Since Specialization
Citations

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

Fields of papers citing papers by Yinghui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinghui Li

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 1
3 2
4 1
5 2
6 2
7 4
8 8
9 3
10 1
11 1
12 1
13 75
14 23
15 13
16 7
17 3
18 15
19
Design and Operation Overview of 4-person 180-day Integrated Experiment in Controlled Ecological Life Support System
6
20 11

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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