Dongsheng Li

8.1k total citations · 5 hit papers
336 papers, 4.5k citations indexed

About

Dongsheng Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Dongsheng Li has authored 336 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Artificial Intelligence, 92 papers in Computer Vision and Pattern Recognition and 82 papers in Computer Networks and Communications. Recurrent topics in Dongsheng Li's work include Topic Modeling (45 papers), Caching and Content Delivery (35 papers) and Advanced Neural Network Applications (33 papers). Dongsheng Li is often cited by papers focused on Topic Modeling (45 papers), Caching and Content Delivery (35 papers) and Advanced Neural Network Applications (33 papers). Dongsheng Li collaborates with scholars based in China, United States and Hong Kong. Dongsheng Li's co-authors include Tao Sun, Xicheng Lu, Linbo Qiao, Yiming Zhang, Bao Wang, Zhaoning Zhang, Zhigang Kan, Yong Dou, Dawei Feng and Ke Yang and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Dongsheng Li

293 papers receiving 4.3k citations

Hit Papers

Correlation Congruence for Knowledge Distillation 2017 2026 2020 2023 2019 2022 2022 2017 2024 100 200 300

Peers

Dongsheng Li
Comparison fields: 5 of 165
  • Artificial Intelligence 1.7k
  • Computer Vision and Pattern Recognition 995
  • Computer Networks and Communications 830
  • Information Systems 744
  • Electrical and Electronic Engineering 416
Replace L.M. Patnaik with:
L.M. Patnaik India
Han Li China
Vincenzo Piuri Italy
Zhihua Cui China
Zhongzhi Shi China
Xiao‐Zhi Gao Finland
Iztok Fister Slovenia
Dunwei Gong China
Suresh Sundaram Singapore
Shengwu Xiong China
L.M. Patnaik India View profile →
Citations per field, relative to Dongsheng Li
Dongsheng Li · 1×
Citations per year, relative to Dongsheng Li
Dongsheng Li · 1×

Countries citing papers authored by Dongsheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Dongsheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongsheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dongsheng Li. A scholar is included among the top collaborators of Dongsheng 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 Dongsheng Li. Dongsheng 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 18
2 3
3 6
4 1
5 3
6 0
7 2
8 4
9 8
10 0
11 34
12 0
13 0
14 16
15 27
16
NENN: Incorporate Node and Edge Features in Graph Neural Networks
12
17 19
18 4
19 0
20
Study on Characteristics of Genetic Algorithms and Its Application to Optimize Reloading Pattern Problem
1

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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