Haobo Chen

761 citations
45 papers · 430 · h-index 13

Impact in

Papers in

Haobo Chen

42 papers receiving 425 citations

Peers

Haobo Chen
Comparison fields: 5 of 108
  • Catalysis 34
  • Computer Vision and Pattern Recognition 77
  • Cognitive Neuroscience 64
  • Molecular Medicine 16
  • Radiology, Nuclear Medicine and Imaging 68
Replace Liqing Zhang with:
Liqing Zhang China
Jeong-Seon Park South Korea
Ling Luo China
Akash Kumar Gupta India
Shengjie Liu China
Zhaoqiang Wang China
A. Sreedevi India
Yu Shen China
Tong Song China
Haobo Chen relative to Liqing Zhang China Liqing Zhang's profile →
Citations per field
00.5×3.7×
Liqing Zhang · 1×
Citations per year

Countries citing papers authored by Haobo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haobo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haobo 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 Haobo Chen Line = papers co-authored together Haobo Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201575
2 201532
3 202327
4 201924
5 202322
6 201622
7 201922
8 202417
9 201816
10 202315
11 202413
12 201513
13 202312
14 201512
15 202112
16 202212
17 20219
18 20139
19 20177
20 20217

About Haobo Chen

Haobo Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Artificial Intelligence and Organic Chemistry, having authored 45 papers that have together received 430 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced Neural Network Applications (5 papers), AI in cancer detection (5 papers), Neurobiology of Language and Bilingualism (4 papers), Medical Image Segmentation Techniques (4 papers), Hydrogels: synthesis, properties, applications (3 papers), Surfactants and Colloidal Systems (3 papers) and Pickering emulsions and particle stabilization (3 papers). The work is most often cited by research in Catalysis (34 citations), Computer Vision and Pattern Recognition (77 citations), Cognitive Neuroscience (64 citations), Molecular Medicine (16 citations) and Radiology, Nuclear Medicine and Imaging (68 citations). Haobo Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaohong S. Li, David L. King, Prabhakar Singh, Lenore L. Dai, Qi Zhang, Hao Sheng, Pia Rotshtein, Xiaoping Pan, Hongyu Yu and Wei Ke. Their work appears in journals such as Journal of Colloid and Interface Science, Frontiers in Aging Neuroscience, Computerized Medical Imaging and Graphics, Expert Systems with Applications and Scientific Reports.

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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