Zhang Yan

1.0k citations
50 papers · 621 indexed · h-index 12

Zhang Yan

42 papers receiving 603 citations

Peers

Zhang Yan
Comparison fields: 5 of 90
  • Computer Science Applications 85
  • Computational Theory and Mathematics 215
  • Management Science and Operations Research 117
  • Artificial Intelligence 300
  • Information Systems 166
Replace Doo-Soon Park with:
Doo-Soon Park South Korea
Francesco Ricca Italy
Nian Li China
Likang Yin China
Yun Sing Koh New Zealand
Mimmo Parente Italy
Chung Keung Poon Hong Kong
Bob Price United States
Zhang Yan relative to Doo-Soon Park South Korea Doo-Soon Park's profile →
Citations per field
00.5×3.7×
Doo-Soon Park · 1×
Citations per year

Countries citing papers authored by Zhang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Zhang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202411
3 20240
4 20244
5 202115
6 20206
7 20201
8 201917
9 201838
10 20180
11 20172
12 201757
13
A Polymorphic Routing System Providing Flexible Customization for Service
20161
14 201656
15 20169
16 20133
17
On Compound Causatives and Resultatives in Chinese
20120
18
A Syntax-semantics Interface Study of Causal Connectives
20122
19
The Explorations of the Innovative Consciousness and Research Ability Cultivating
20090
20
Prospects of the bilingual education in Chinese universities
20060

About Zhang Yan

Zhang Yan is a scholar working on Computer Science Applications, Information Systems and Software, having authored 50 papers that have together received 621 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (6 papers), Data Mining Algorithms and Applications (4 papers), Advanced Text Analysis Techniques (4 papers), Advanced Battery Technologies Research (4 papers), Software Engineering Research (3 papers), Imbalanced Data Classification Techniques (3 papers), Complex Network Analysis Techniques (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Computer Science Applications (85 citations), Computational Theory and Mathematics (215 citations) and Management Science and Operations Research (117 citations). Zhang Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include JingTao Yao, Zhan Qin, Xiao Lu, Zhibo Wang, Qian Wang, Kui Ren, Nouman Azam, Zhifang Liao, Xiaoping Fan and Shengzong Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and European Journal of Operational Research.

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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