Bailing Zhang

1.7k citations
44 papers · 1.2k indexed · h-index 14
Topics
Neural Networks and Applications (11 papers)Face and Expression Recognition (9 papers)Image Retrieval and Classification Techniques (6 papers)

In The Last Decade

Bailing Zhang

40 papers receiving 1.1k citations

Peers

Bailing Zhang
Comparison fields: 5 of 139
  • Immunology 278
  • Infectious Diseases 277
  • Molecular Biology 185
  • Computer Vision and Pattern Recognition 184
  • Artificial Intelligence 180
Replace Alex Zelikovsky with:
Alex Zelikovsky United States
Yiyin Wang China
Tomer Hertz Israel
Lin Lin China
R. Sujatha India
T. M. Murali United States
Martin Hölzer Germany
Farhad Imani United States
Carl Taswell United States
Bailing Zhang relative to Alex Zelikovsky United States Alex Zelikovsky's profile →
Citations per field
00.5×3.9×
Alex Zelikovsky · 1×
Citations per year

Countries citing papers authored by Bailing Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Bailing Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bailing Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Bailing Zhang. A scholar is included among the top collaborators of Bailing Zhang 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 Bailing Zhang. Bailing Zhang 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 0
2 0
3 0
4 3
5 1
6 111
7 220
8 99
9 16
10 16
11 2
12 168
13 41
14 7
15
Multiple features based two-stage hybrid classifier ensembles for subcellular phenotype images classification
5
16 1
17 1
18 98
19 44
20 3

About Bailing Zhang

Bailing Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Face and Expression Recognition (9 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Virology (125 citations), Infectious Diseases (277 citations) and Immunology (278 citations). Bailing Zhang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Zhiwei Huang, Fangyu Wu, M.A. Jabri, Yuhang Wang, Ning Gao, Yuwei Zhu, De Dong, Ningning Li, Lvqin Zheng and Richard Coggins. Their work appears in journals such as Nature, Pattern Recognition and Fuzzy Sets and Systems.

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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