Ye Hua

548 citations
39 papers · 394 · h-index 10

Impact in

Papers in

Ye Hua

34 papers receiving 384 citations

Peers

Ye Hua
Comparison fields: 5 of 99
  • Food Science 77
  • Marketing 37
  • Management Information Systems 28
  • Strategy and Management 45
  • Energy Engineering and Power Technology 9
Replace Antonio Guillamón with:
Antonio Guillamón Spain
Qi Yao China
Luciano Raso Netherlands
Raúl Carrasco Chile
Daniel Dooyum Uyeh South Korea
Sercan Demir Türkiye
C. N. Bezuidenhout South Africa
Verónica Sáiz-Rubio Spain
María Carmen Ruiz-Abellón Spain
Ye Hua relative to Antonio Guillamón Spain Antonio Guillamón's profile →
Citations per field
00.5×4.5×
Antonio Guillamón · 1×
Citations per year

Countries citing papers authored by Ye Hua

Since Specialization
Citations

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

Fields of papers citing papers by Ye Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200790
2 201172
3 202330
4 201128
5 201923
6 200815
7 201712
8 201812
9 202211
10
A WEIGHTED LEAST SQUARES METHOD FOR ADAPTIVE PREDICTION IN LOSSLESS IMAGE COMPRESSION
200910
11 20239
12 20209
13 20168
14 20187
15 20157
16 20256
17 20215
18 20175
19 20135
20 19974

About Ye Hua

Ye Hua is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Strategy and Management, having authored 39 papers that have together received 394 indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (5 papers), Microgrid Control and Optimization (4 papers), Wind Turbine Control Systems (4 papers), High-Voltage Power Transmission Systems (3 papers), Power System Optimization and Stability (3 papers), Sustainable Supply Chain Management (3 papers), Face and Expression Recognition (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Food Science (77 citations), Marketing (37 citations), Management Information Systems (28 citations), Strategy and Management (45 citations) and Energy Engineering and Power Technology (9 citations). Ye Hua has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Limin Dong, Xiaoli Li, Chunhui Yang, Qiu Ai-yong, Yan Li, Steve W. Cui, Zhongsheng Hua, Xuan Li, Yuqiu Xu and Tsan‐Ming Choi. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Electronic Commerce Research and Applications, Journal of Cleaner Production, Enterprise Information Systems and Advanced Robotics.

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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