Baoxin Li

36 papers receiving 666 citations

Peers

Baoxin Li
Comparison fields: 5 of 129
  • Human-Computer Interaction 70
  • Endocrine and Autonomic Systems 82
  • Computer Vision and Pattern Recognition 191
  • Cognitive Neuroscience 111
  • Biomaterials 75
Replace Bashir I. Morshed with:
Bashir I. Morshed United States
Li Tong China
M. Jagannath India
Kedi Xu China
Junxian Huang Hong Kong
Shixiong Chen China
Cheng‐Yuan Li Taiwan
Keisuke Shima Japan
Bradley S. Duerstock United States
Baoxin Li relative to Bashir I. Morshed United States Bashir I. Morshed's profile →
Citations per field
00.5×10×13.7×
Bashir I. Morshed · 1×
Citations per year

Countries citing papers authored by Baoxin Li

Since Specialization
Citations

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

Fields of papers citing papers by Baoxin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017109
2 200967
3 200256
4 202042
5 201738
6 201437
7 200134
8 201832
9 201331
10 202125
11 201825
12 201724
13 201721
14 202020
15 201219
16
FGFR2 molecular analysis and related clinical findings in one Chinese family with Crouzon syndrome.
201216
17 202215
18 202014
19 201011
20 20136

About Baoxin Li

Baoxin Li is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Endocrine and Autonomic Systems, Physiology and Human-Computer Interaction, having authored 37 papers that have together received 693 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (9 papers), Regulation of Appetite and Obesity (5 papers), Adipose Tissue and Metabolism (4 papers), Face recognition and analysis (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Interactive and Immersive Displays (3 papers), Spatial Cognition and Navigation (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Human-Computer Interaction (70 citations), Endocrine and Autonomic Systems (82 citations), Computer Vision and Pattern Recognition (191 citations), Cognitive Neuroscience (111 citations) and Biomaterials (75 citations). Baoxin Li has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Zheshen Wang, Rama Chellappa, Virginia L. Brooks, Zhigang Shi, Rama Chellappa, Yanling Xu, Yingli An, Yong Liu, Linqi Shi and Rujiang Ma. Their work appears in journals such as Alzheimer s & Dementia, RSC Advances, IEEE Transactions on Image Processing, Journal of the Optical Society of America A and Journal of Diabetes and its Complications.

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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