Conghuan Ye

643 citations
43 papers · 456 · 2 hit papers · h-index 10

Impact in

Papers in

Conghuan Ye

39 papers receiving 441 citations

Conghuan Ye's Hit Papers

Integrating Fractional-Order Hopfield Neural Network with Differentiated Encryption: Achieving High-Performance Privacy Protection for Medical Images 2025 · 31 citations
310Years since publication102030

Peers

Conghuan Ye
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 200
  • Artificial Intelligence 101
  • Statistical and Nonlinear Physics 36
  • Computer Networks and Communications 63
  • Business and International Management 5
Replace K. Ganesan with:
K. Ganesan India
Jiayi Shi China
Hakim El Fadili Morocco
Hai Van Pham Vietnam
Edy Winarno Indonesia
Priti Maheshwary India
Junhua Gu China
Zhanshan Li China
G.A. Vijayalakshmi Pai India
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Citations per field
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Citations per year

Countries citing papers authored by Conghuan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Conghuan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019113
2 2019101
3 202055
4
Integrating Fractional-Order Hopfield Neural Network with Differentiated Encryption: Achieving High-Performance Privacy Protection for Medical Images
Hit paper breakdown →
202531
5 202129
6
Social Image Security with Encryption and Watermarking in Hybrid Domains
Hit paper breakdown →
202522
7 201311
8 201410
9 201410
10 20229
11 20158
12 20166
13 20125
14 20163
15 20163
16 20113
17 20223
18 20123
19 20123
20 20212

About Conghuan Ye

Conghuan Ye is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics, having authored 43 papers that have together received 456 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (20 papers), Advanced Steganography and Watermarking Techniques (19 papers), Digital Media Forensic Detection (8 papers), Distributed and Parallel Computing Systems (5 papers), Cloud Computing and Resource Management (5 papers), Peer-to-Peer Network Technologies (4 papers), Caching and Content Delivery (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (200 citations), Artificial Intelligence (101 citations), Statistical and Nonlinear Physics (36 citations), Computer Networks and Communications (63 citations) and Business and International Management (5 citations). Conghuan Ye has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Zenggang Xiong, Xuemin Zhang, Fang Xu, Yuan Wu, Nan Xiao, Qiong Xu, Wei Feng, Guangwei Wang, Jun Wang and Cong Chen. Their work appears in journals such as Multimedia Tools and Applications, Medical Physics, Complex & Intelligent Systems, ACM Transactions on Multimedia Computing Communications and Applications and Journal of Visual Languages & Computing.

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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