Baihua Li

1.8k citations
76 papers · 1.1k indexed · h-index 19
Topics
Human Pose and Action Recognition (13 papers)Anomaly Detection Techniques and Applications (10 papers)Advanced Vision and Imaging (10 papers)
Journals
SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsPLoS ONE

In The Last Decade

Baihua Li

71 papers receiving 1.1k citations

Peers

Baihua Li
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 499
  • Radiology, Nuclear Medicine and Imaging 215
  • Biomedical Engineering 182
  • Ophthalmology 168
  • Cognitive Neuroscience 125
Replace Mounir Sayadi with:
Mounir Sayadi Tunisia
Guangmin Sun China
Zhiqiang Tian China
Ardhendu Behera United Kingdom
Stefano Ghidoni Italy
Chirag Patel India
Mohammad Farukh Hashmi India
Hamid Abrishami Moghaddam Iran
John Zelek Canada
Baihua Li relative to Mounir Sayadi Tunisia Mounir Sayadi's profile →
Citations per field
00.5×2.9×
Mounir Sayadi · 1×
Citations per year

Countries citing papers authored by Baihua Li

Since Specialization
Citations

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

Fields of papers citing papers by Baihua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baihua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Baihua Li. A scholar is included among the top collaborators of Baihua Li 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 Baihua Li. Baihua Li 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 1
2 0
3 1
4 3
5 1
6 5
7 16
8 1
9 3
10 7
11 25
12 46
13 31
14 13
15 60
16 24
17
An investigation on local wrinkle-based extractor of age estimation
10
18
On the Construction of Modern Distance Education and the Lifelong Education System in China
0
19
Object Localisation via Action Recognition
1
20
Based on Image Processing and Automatic Noncontact Measuring System for Crankshaft
1

About Baihua Li

Baihua Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (13 papers), Anomaly Detection Techniques and Applications (10 papers) and Advanced Vision and Imaging (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (499 citations), Ophthalmology (168 citations) and Human-Computer Interaction (67 citations). Baihua Li has collaborated with scholars based in United Kingdom, China and Malaysia. Frequent co-authors include Qinggang Meng, Jano van Hemert, Liangxiu Han, Muhammad Salman Haleem, Jiachen Yang, Nicholas Costen, Yuanlin Gu, H. Holstein, John Darby and Bin Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

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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