Haoxiang Li

3.6k citations
45 papers · 1.6k indexed · 1 hit paper · h-index 14
Topics
Face recognition and analysis (10 papers)Face and Expression Recognition (7 papers)Posttraumatic Stress Disorder Research (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEACS Applied Materials & Interfaces

In The Last Decade

Haoxiang Li

41 papers receiving 1.5k citations

Hit Papers

A convolutional neural network cascade for face detection20152026201820222015250500750

Peers

Haoxiang Li
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 283
  • Signal Processing 280
  • Electrical and Electronic Engineering 98
  • Radiology, Nuclear Medicine and Imaging 70
Replace Sergey Tulyakov with:
Sergey Tulyakov United States
Jonathan Brandt United States
Shahrel Azmin Suandi Malaysia
Gianfranco Doretto United States
Jun Yu China
Jingchao Zhou China
Byung Cheol Song South Korea
Jian Zhao China
Xi Peng United States
Iacopo Masi Italy
Haoxiang Li relative to Sergey Tulyakov United States Sergey Tulyakov's profile →
Citations per field
00.5×3.7×
Sergey Tulyakov · 1×
Citations per year

Countries citing papers authored by Haoxiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Haoxiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoxiang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Haoxiang Li. A scholar is included among the top collaborators of Haoxiang 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 Haoxiang Li. Haoxiang 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 1
3 0
4 0
5 0
6 4
7 4
8 4
9 5
10 1
11 2
12 16
13 2
14 8
15 8
16 2
17 18
18 36
19
A convolutional neural network cascade for face detectionbreakdown →
861
20 58

About Haoxiang Li

Haoxiang Li is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Business and International Management, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Face recognition and analysis (10 papers), Face and Expression Recognition (7 papers) and Posttraumatic Stress Disorder Research (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (280 citations) and Human-Computer Interaction (59 citations). Haoxiang Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gang Hua, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Shuicheng Yan, Hao Kang, Nuno Vasconcelos, Bo Liu, Bangjie Yin and Xiaoming Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and ACS Applied Materials & Interfaces.

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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