Ru Li

696 citations
71 papers · 404 · h-index 11

Impact in

Papers in

    • Topic Modeling 37
    • Natural Language Processing Techniques 28
    • Advanced Text Analysis Techniques 14
    • Advanced Graph Neural Networks 11
    • Advanced Computational Techniques and Applications 5
    • Web Data Mining and Analysis 4

Ru Li

57 papers receiving 397 citations

Peers

Ru Li
Comparison fields: 5 of 76
  • Artificial Intelligence 264
  • Statistical and Nonlinear Physics 79
  • Statistics, Probability and Uncertainty 35
  • Radiological and Ultrasound Technology 23
  • Computational Mathematics 2
Replace Wei Kang with:
Wei Kang China
Samrat Chatterjee United States
Xiangrong Wang China
Fanqi Meng China
Martin Hassel Sweden
Xiaofei Liu China
Asim Kumer Dey United States
Haeran Cho United Kingdom
Ru Li relative to Wei Kang China Wei Kang's profile →
Citations per field
00.5×
Wei Kang · 1×
Citations per year

Countries citing papers authored by Ru Li

Since Specialization
Citations

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

Fields of papers citing papers by Ru Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ru 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 Ru Li Line = papers co-authored together Ru Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202342
2 201838
3 202133
4 201627
5 201823
6 202020
7 202017
8 202016
9 202215
10 202113
11 202311
12 20209
13 20209
14 20218
15 20177
16 20217
17 20217
18 20226
19 20186
20
Indoor study on acidification for enhancing the permeability of coal
20146

About Ru Li

Ru Li is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 71 papers that have together received 404 indexed citations. Recurring topics across this work include Topic Modeling (37 papers), Natural Language Processing Techniques (28 papers), Advanced Text Analysis Techniques (14 papers), Advanced Graph Neural Networks (11 papers), Multimodal Machine Learning Applications (6 papers), Complex Network Analysis Techniques (6 papers), Advanced Computational Techniques and Applications (5 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Artificial Intelligence (264 citations), Statistical and Nonlinear Physics (79 citations), Statistics, Probability and Uncertainty (35 citations), Radiological and Ultrasound Technology (23 citations) and Computational Mathematics (2 citations). Ru Li has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Jiye Liang, Xiaoli Li, Jeff Z. Pan, Liangchao Chen, Zhan Dou, Zhang Hu, Yuhua Qian, Jianfeng Yang, Zhiwei Hu and Chi‐Min Shu. Their work appears in journals such as Knowledge-Based Systems, Physica A Statistical Mechanics and its Applications, Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Information Processing & Management.

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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