Hu Zhang

986 citations
46 papers · 684 indexed · h-index 15
Topics
Metaheuristic Optimization Algorithms Research (28 papers)Advanced Multi-Objective Optimization Algorithms (26 papers)Evolutionary Algorithms and Applications (19 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessInformation Sciences
Partner nations
ChinaFinlandHong Kong

In The Last Decade

Hu Zhang

43 papers receiving 676 citations

Peers

Hu Zhang
Comparison fields: 5 of 65
  • Artificial Intelligence 469
  • Computational Theory and Mathematics 395
  • Civil and Structural Engineering 55
  • Management Science and Operations Research 46
  • Electrical and Electronic Engineering 46
Replace Saúl Zapotecas–Martínez with:
Saúl Zapotecas–Martínez Mexico
Ricardo Landa Becerra Mexico
Lie Meng Pang China
Jiao-Hong Yi China
Krishnendu Sanyal India
S. K. Smit Netherlands
Tea Tušar Slovenia
Cai Dai China
Ryo Imada Japan
Hu Zhang relative to Saúl Zapotecas–Martínez Mexico Saúl Zapotecas–Martínez's profile →
Citations per field
00.5×1.5×
Saúl Zapotecas–Martínez · 1×
Citations per year

Countries citing papers authored by Hu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Hu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Hu Zhang. A scholar is included among the top collaborators of Hu 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 Hu Zhang. Hu 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 8
3 1
4 1
5 4
6 7
7 4
8 4
9 6
10 5
11 9
12 23
13 7
14 43
15 48
16 16
17 1
18 0
19 2
20 4

About Hu Zhang

Hu Zhang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 46 papers that have together received 684 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (28 papers), Advanced Multi-Objective Optimization Algorithms (26 papers) and Evolutionary Algorithms and Applications (19 papers). The work is most often cited by research in Computational Theory and Mathematics (395 citations), Artificial Intelligence (469 citations) and Industrial and Manufacturing Engineering (42 citations). Hu Zhang has collaborated with scholars based in China, Finland and Hong Kong. Frequent co-authors include Aimin Zhou, Shenmin Song, Qingfu Zhang, Jianyong Sun, Hong Qian, Xiao-Zhi Gao, Jun Zhang, Hao Hao, Xiao-Zhi Gao and Xin Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

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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