Shuai Ding

768 citations
11 papers · 508 indexed · h-index 8
Topics
Data Management and Algorithms (8 papers)Algorithms and Data Compression (5 papers)Advanced Image and Video Retrieval Techniques (4 papers)
Journals
InformaticaarXiv (Cornell University)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Partner nations
United StatesChina

In The Last Decade

Shuai Ding

11 papers receiving 479 citations

Peers

Shuai Ding
Comparison fields: 5 of 38
  • Artificial Intelligence 293
  • Computer Networks and Communications 287
  • Signal Processing 251
  • Information Systems 188
  • Computer Vision and Pattern Recognition 142
Replace Vo Ngoc Anh with:
Vo Ngoc Anh Australia
Luis L. Perez United States
Jiewen Huang United States
Chunbin Lin United States
Itaru Nishizawa United States
Haichuan Shang Japan
Odysseas Papapetrou Germany
Meral Özsoyoğlu United States
Andreas Kipf Germany
Dimitris Tsirogiannis United States
Shuai Ding relative to Vo Ngoc Anh Australia Vo Ngoc Anh's profile →
Citations per field
00.5×6.5×
Vo Ngoc Anh · 1×
Citations per year

Countries citing papers authored by Shuai Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Ding. A scholar is included among the top collaborators of Shuai 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 Shuai Ding. Shuai Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 5
2 25
3 3
4 25
5 15
6 148
7 5
8 30
9 171
10 36
11 45

About Shuai Ding

Shuai Ding is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 11 papers that have together received 508 indexed citations. Recurring topics across this work include Data Management and Algorithms (8 papers), Algorithms and Data Compression (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Signal Processing (251 citations), Computer Networks and Communications (287 citations) and Artificial Intelligence (293 citations). Shuai Ding has collaborated with scholars based in United States and China. Frequent co-authors include Torsten Suel, Hao Yan, Josh Attenberg, Jing He, Hongfei Yan, Xiaoming Li, Ping Tan, Ricardo Baeza‐Yates, Zilong Dong and Honghua Li. Their work appears in journals such as Informatica, arXiv (Cornell University) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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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