Jianing Sun

970 citations
26 papers · 594 indexed · h-index 9
Topics
Advanced Graph Neural Networks (8 papers)Recommender Systems and Techniques (6 papers)Image and Signal Denoising Methods (4 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
Partner nations
ChinaCanadaUnited States

In The Last Decade

Jianing Sun

22 papers receiving 583 citations

Peers

Jianing Sun
Comparison fields: 5 of 65
  • Information Systems 400
  • Artificial Intelligence 383
  • Computer Vision and Pattern Recognition 177
  • Computer Networks and Communications 55
  • Management Science and Operations Research 52
Replace Xihong Yang with:
Xihong Yang China
Mengdi Zhang China
Miao Fan China
Xingzhong Du China
Liangyue Li United States
Jiajun Chen China
Wen-Yen Chen United States
Ximing Li China
Jinfeng Zhuang Singapore
Jianing Sun relative to Xihong Yang China Xihong Yang's profile →
Citations per field
00.5×10×15×19×
Xihong Yang · 1×
Citations per year

Countries citing papers authored by Jianing Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jianing Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianing Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jianing Sun. A scholar is included among the top collaborators of Jianing Sun 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 Jianing Sun. Jianing Sun 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
2 3
3 1
4 1
5 1
6 1
7 0
8 0
9 2
10 0
11 2
12 41
13 95
14 145
15 57
16 9
17 81
18 1
19 15
20 4

About Jianing Sun

Jianing Sun is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Information Systems, having authored 26 papers that have together received 594 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (8 papers), Recommender Systems and Techniques (6 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Information Systems (400 citations), Artificial Intelligence (383 citations) and Computer Vision and Pattern Recognition (177 citations). Jianing Sun has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Mark Coates, Yingxue Zhang, Chen Ma, Xiuqiang He, Ruiming Tang, Huifeng Guo, Xue Liu, Shuang Qiao, Wei Guo and Maksims Volkovs. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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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