Xiaoling Chen

630 citations
27 papers · 410 · h-index 9

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Authorship Attribution and Profiling
    • Topic Modeling
    • Hate Speech and Cyberbullying Detection

Papers in

Xiaoling Chen

22 papers receiving 399 citations

Peers

Xiaoling Chen
Comparison fields: 5 of 92
  • Cancer Research 84
  • Artificial Intelligence 116
  • Information Systems 71
  • Information Systems and Management 18
  • Molecular Biology 141
Replace Yinghui Huang with:
Yinghui Huang China
Liwei Cai United States
Mohammadamin Edrisi United States
Vijay K. Shanker United States
Juha Törnroos United States
Navin Sabharwal United States
Yicheng Di China
Maaike de Boer Netherlands
Hai-yang Jia China
Xiaoling Chen relative to Yinghui Huang China Yinghui Huang's profile →
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016136
2 201748
3 200941
4 201133
5 201732
6 201627
7 201720
8 201213
9 201211
10 20168
11 20127
12 20076
13 20115
14
Watershed Transform Based on Morphological Reconstruction
20094
15
A random sets model for spatial objects with uncertain boundaries
20093
16 20063
17 20233
18 20142
19 20232
20 20072

About Xiaoling Chen

Xiaoling Chen is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Artificial Intelligence and Media Technology, having authored 27 papers that have together received 410 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Spam and Phishing Detection (3 papers), Image and Object Detection Techniques (2 papers), Caching and Content Delivery (2 papers), Video Analysis and Summarization (2 papers), Digital Media Forensic Detection (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (84 citations), Artificial Intelligence (116 citations), Information Systems (71 citations), Information Systems and Management (18 citations) and Molecular Biology (141 citations). Xiaoling Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jeffrey T. Chang, R. Chandramouli, Koduvayur P. Subbalakshmi, Sendurai A. Mani, Lin Li, Michael J. Tisza, Weina Zhao, Zhi Tan, Sara Prijic and Yan Zuo. Their work appears in journals such as Database, IEEE/CAA Journal of Automatica Sinica, Bioinformatics, Physics of Fluids and Cancer Research.

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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