Zhonghui Hu

464 citations
35 papers · 328 · h-index 12

Impact in

Papers in

Zhonghui Hu

28 papers receiving 321 citations

Peers

Zhonghui Hu
Comparison fields: 5 of 72
  • Control and Systems Engineering 61
  • Cancer Research 32
  • Oncology 53
  • Transportation 13
  • Plant Science 68
Replace Takeshi Shikanai with:
Takeshi Shikanai Japan
Lı́gia P. Brás Portugal
Rongjie Liu United States
Jacek Mazurkiewicz Poland
Yiping Jiao China
Pengfei Fan China
Huaxi Zhang China
Zhonghui Hu relative to Takeshi Shikanai Japan Takeshi Shikanai's profile →
Citations per field
00.5×10×13×
Takeshi Shikanai · 1×
Citations per year

Countries citing papers authored by Zhonghui Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghui Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201748
2 202041
3 202227
4 200519
5 201918
6 202118
7 200518
8 202215
9 200514
10 202112
11 201211
12 202011
13 202210
14 20208
15
Adaptive nonlinear output feedback control with wave filter for ship course
20137
16 20217
17 20127
18 20116
19 20226
20 20054

About Zhonghui Hu

Zhonghui Hu is a scholar working on Control and Systems Engineering, Oncology, Computational Theory and Mathematics, Plant Science and Artificial Intelligence, having authored 35 papers that have together received 328 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (5 papers), Rough Sets and Fuzzy Logic (4 papers), Face and Expression Recognition (3 papers), Neural Networks and Applications (3 papers), Stability and Control of Uncertain Systems (3 papers), Plant Virus Research Studies (3 papers), Underwater Vehicles and Communication Systems (2 papers) and Adaptive Control of Nonlinear Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (61 citations), Cancer Research (32 citations), Oncology (53 citations), Transportation (13 citations) and Plant Science (68 citations). Zhonghui Hu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Xiao‐Ming Xu, Qingtao Zhao, Lihua Zhao, Jiemei Zhao, Shun‐Lin Li, Xiaoxia Su, Jiahong Dong, Huien Wang, Zhongkai Zhang and Guochen Duan. Their work appears in journals such as Pesticide Biochemistry and Physiology, OncoTargets and Therapy, Cancer Management and Research, Chinese Journal of Aeronautics and Gene.

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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