Jingtao Ding

1.4k total citations · 1 hit paper
51 papers, 761 citations indexed

About

Jingtao Ding is a scholar working on Transportation, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jingtao Ding has authored 51 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Transportation, 15 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jingtao Ding's work include Human Mobility and Location-Based Analysis (23 papers), Recommender Systems and Techniques (15 papers) and Advanced Graph Neural Networks (7 papers). Jingtao Ding is often cited by papers focused on Human Mobility and Location-Based Analysis (23 papers), Recommender Systems and Techniques (15 papers) and Advanced Graph Neural Networks (7 papers). Jingtao Ding collaborates with scholars based in China, United States and Singapore. Jingtao Ding's co-authors include Yong Li, Depeng Jin, Xiangnan He, Guanghui Yu, Yuhan Quan, Yu Liu, Yuan Yuan, Huandong Wang, Chen Gao and Fuli Feng and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Jingtao Ding

49 papers receiving 746 citations

Hit Papers

Large language models empowered agent-based modeling and ... 2024 2026 2025 2024 10 20 30 40 50

Peers

Jingtao Ding
Comparison fields: 5 of 77
  • Information Systems 342
  • Artificial Intelligence 294
  • Transportation 218
  • Computer Vision and Pattern Recognition 152
  • Building and Construction 130
Replace Yongli Ren with:
Yongli Ren Australia
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Bradley Sturt United States
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Kaiqi Zhao New Zealand
Chuishi Meng United States
Xiaopeng Li China
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Yongli Ren Australia View profile →
Citations per field, relative to Jingtao Ding
Jingtao Ding · 1×
Citations per year, relative to Jingtao Ding
Jingtao Ding · 1×

Countries citing papers authored by Jingtao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jingtao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingtao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jingtao Ding. A scholar is included among the top collaborators of Jingtao Ding 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 Jingtao Ding. Jingtao Ding 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 2
2 2
3 0
4 2
5 4
6 4
7 2
8 1
9 14
10
Large language models empowered agent-based modeling and simulation: a survey and perspectives breakdown →
51
11 2
12 15
13 3
14 8
15 6
16 13
17 10
18
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
1
19 77
20 39

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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