Yating Li

432 citations
19 papers · 285 · h-index 10

Impact in

Papers in

    • Advanced Clustering Algorithms Research 3
    • Cryptography and Data Security 3
    • Privacy-Preserving Technologies in Data 3
    • Blockchain Technology Applications and Security 2

Yating Li

18 papers receiving 282 citations

Peers

Yating Li
Comparison fields: 5 of 70
  • Management Information Systems 43
  • Information Systems 98
  • Artificial Intelligence 122
  • Media Technology 30
  • Marketing 22
Replace Ren-Junn Hwang with:
Ren-Junn Hwang Taiwan
Noriaki Kamiyama Japan
Aykut Firat United States
P. Radha Krishna India
Ryan Henry Canada
Victor L. F. Souza Brazil
Martin Elsman Denmark
Jan Newmarch Australia
Mick Ridley United Kingdom
Yating Li relative to Ren-Junn Hwang Taiwan Ren-Junn Hwang's profile →
Citations per field
00.5×20×40×60×79×
Ren-Junn Hwang · 1×
Citations per year

Countries citing papers authored by Yating Li

Since Specialization
Citations

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

Fields of papers citing papers by Yating Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202345
2 202244
3 202132
4 201931
5 201427
6 202220
7 202215
8 202315
9 202414
10 202212
11 20228
12 20248
13 20156
14 20182
15 20252
16 20192
17 20251
18 20201
19 20250

About Yating Li

Yating Li is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Management Information Systems, having authored 19 papers that have together received 285 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (3 papers), Cryptography and Data Security (3 papers), Privacy-Preserving Technologies in Data (3 papers), Complex Network Analysis Techniques (3 papers), Advanced Image Fusion Techniques (2 papers), Blockchain Technology Applications and Security (2 papers), Remote Sensing and Land Use (2 papers) and Supply Chain and Inventory Management (2 papers). The work is most often cited by research in Management Information Systems (43 citations), Information Systems (98 citations), Artificial Intelligence (122 citations), Media Technology (30 citations) and Marketing (22 citations). Yating Li has collaborated with scholars based in China, India and Canada. Frequent co-authors include Pengwen Hou, Chi Zhang, Feicheng Ma, Jianghui Cai, Haifeng Yang, Jingwei Liu, Xujun Zhao, Victor C. M. Leung, Ning Zhang and Rong Sun. Their work appears in journals such as International Journal of Production Research, Animals, IEEE Transactions on Intelligent Transportation Systems, Online Information Review and Information Sciences.

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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