Jianhua Chen

44 papers receiving 301 citations

Peers

Jianhua Chen
Comparison fields: 5 of 67
  • Artificial Intelligence 118
  • Computer Vision and Pattern Recognition 98
  • Computational Theory and Mathematics 69
  • Signal Processing 59
  • Information Systems 52
Replace Carla Purdy with:
Carla Purdy United States
Everton Alvares Cherman Brazil
Syed Muhammad Saqlain Pakistan
Estellito Rangel Brazil
Su Zhang China
S. Arumugam India
Sameh A. Salem Egypt
Luca Cazzanti United States
Firas Abuzaid United States
Junbo Zhao China
Jianhua Chen relative to Carla Purdy United States Carla Purdy's profile →
Citations per field
00.5×2.6×
Carla Purdy · 1×
Citations per year

Countries citing papers authored by Jianhua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jianhua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jianhua Chen. A scholar is included among the top collaborators of Jianhua Chen 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 Jianhua Chen. Jianhua Chen 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 4
2 5
3 1
4 4
5 0
6 24
7 3
8 0
9 1
10 1
11 4
12 13
13 3
14
Dynamic Graphics Methods on Presenting the Characteristics of Water Monitoring Data
0
15 25
16
Matching Polygons Using Canonical String Representation.
2
17
OPTIMIZATION OF THE QUADRATIC SIEVE IN LARGE INTEGER FACTORIZATION
0
18
Amalgamation-based digital audio information hiding method
0
19 9
20
A refined semantics for disjunctive logic programs
1

About Jianhua Chen

Jianhua Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 57 papers that have together received 321 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (8 papers), Algorithms and Data Compression (7 papers) and Rough Sets and Fuzzy Logic (6 papers). The work is most often cited by research in Signal Processing (59 citations), Computer Vision and Pattern Recognition (98 citations) and Computational Theory and Mathematics (69 citations). Jianhua Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuanyuan Wang, Donald H. Kraft, Miguel E. Ruiz, Padmini Srinivasan, Tzu‐Chi Yang, Evangelos Triantaphyllou, Min Chen, Yufeng Zhang, Salvador Nieto Sánchez and T. Warren Liao. Their work appears in journals such as Bioinformatics, IEEE Transactions on Image Processing and IEEE Transactions on Biomedical Engineering.

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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