Tingting Li

1.7k citations
68 papers · 959 indexed · 1 hit paper · h-index 12
Topics
Multi-Agent Systems and Negotiation (8 papers)Logic, Reasoning, and Knowledge (7 papers)Topic Modeling (4 papers)

In The Last Decade

Tingting Li

58 papers receiving 916 citations

Hit Papers

ESG: Research Progress and Future Prospects20212026202220242021100200300

Peers

Tingting Li
Comparison fields: 5 of 102
  • Strategy and Management 269
  • Artificial Intelligence 225
  • Marketing 203
  • Computer Networks and Communications 175
  • Economics and Econometrics 145
Replace Aurelio Tommasetti with:
Aurelio Tommasetti Italy
Xueli Huang China
Sheng-Hsun Hsu Taiwan
József Mezei Finland
Xiaoming He China
P.D.D. Dominic Malaysia
Prabhakant Sinha United States
Bo Yu China
Jin‐Xing Hao China
William Yeoh Australia
Tingting Li relative to Aurelio Tommasetti Italy Aurelio Tommasetti's profile →
Citations per field
00.5×3.2×
Aurelio Tommasetti · 1×
Citations per year

Countries citing papers authored by Tingting Li

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Li

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Li. A scholar is included among the top collaborators of Tingting 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 Tingting Li. Tingting 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
#WorkIndexed citations
1 0
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8 6
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Research of The WSN Routing based on Artificial Bee Colony Algorithm.
4
16
Debugging ASP using ILP
1
17 3
18 1
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Normative conflict detection and resolution in cooperating institutions
6
20 3

About Tingting Li

Tingting Li is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 68 papers that have together received 959 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (8 papers), Logic, Reasoning, and Knowledge (7 papers) and Topic Modeling (4 papers). The work is most often cited by research in Marketing (203 citations), Strategy and Management (269 citations) and Accounting (100 citations). Tingting Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Kai Wang, Toshiyuki Sueyoshi, Derek Wang, Cheng Feng, Deeph Chana, Baichang Zhong, Jinxing Xie, Chris Hankin, Yang Zhao and Chaobo Zhang. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports and Expert Systems with Applications.

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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