Xiaoling Chen

616 citations
21 papers · 321 · h-index 9

Impact in

Papers in

Xiaoling Chen

18 papers receiving 312 citations

Peers

Xiaoling Chen
Comparison fields: 5 of 82
  • Cancer Research 82
  • Information Systems and Management 27
  • Information Systems 53
  • Artificial Intelligence 73
  • Molecular Biology 155
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Daniel Le United States
Haiyang Jia China
Euna Jeong South Korea
Jon Mangion United Kingdom
Tomasz Adamusiak United States
Feiran Wang China
John F. Karpovich United States
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoling Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoling Chen Line = papers co-authored together Xiaoling Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016125
2 201745
3 200936
4 201725
5 201618
6 201718
7 201211
8 201211
9 20168
10 20127
11
Watershed Transform Based on Morphological Reconstruction
20094
12
A random sets model for spatial objects with uncertain boundaries
20093
13 20072
14 20142
15 20062
16
Strategy for Hotspot Load Dynamic Migration in Structured P2P Networks
20111
17
Shanghai Jiao Tong University participation in high-level feature extraction, automatic search and surveillance event detectionat TRECVID 2008.
20081
18 20241
19 20231
20 20250

About Xiaoling Chen

Xiaoling Chen is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Information Systems and Management, having authored 21 papers that have together received 321 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Scientific Computing and Data Management (3 papers), Gene expression and cancer classification (3 papers), Caching and Content Delivery (2 papers), Peer-to-Peer Network Technologies (2 papers), Image Processing Techniques and Applications (2 papers), Distributed Control Multi-Agent Systems (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Cancer Research (82 citations), Information Systems and Management (27 citations), Information Systems (53 citations), Artificial Intelligence (73 citations) and Molecular Biology (155 citations). Xiaoling Chen has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jeffrey T. Chang, Michael J. Tisza, Lin Li, Yan Zuo, Zhi Tan, Sendurai A. Mani, Sara Prijic, Weina Zhao, Na Cheng and K. P. Subbalakshmi. Their work appears in journals such as Database, Data Science Journal, Bioinformatics, IEEE/CAA Journal of Automatica Sinica and Computers & Electrical Engineering.

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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