Wen Long

3.4k citations
95 papers · 2.7k · 1 hit paper · h-index 28

Impact in

Papers in

Wen Long

90 papers receiving 2.7k citations

Wen Long's Hit Papers

An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization 2017 · 243 citations
2430+3+6Years since publication50100150200

Peers

Wen Long
Comparison fields: 5 of 148
  • Artificial Intelligence 1.4k
  • Computational Theory and Mathematics 522
  • Renewable Energy, Sustainability and the Environment 398
  • Control and Systems Engineering 386
  • Energy Engineering and Power Technology 49
Replace Hamza Turabieh with:
Hamza Turabieh Saudi Arabia
Marco Pérez‐Cisneros Mexico
Malik Braik Jordan
Mohammad Khishe Iran
Genlin Ji China
Fatma A. Hashim Egypt
Jinping Liu China
Sankalap Arora India
Wen Long relative to Hamza Turabieh Saudi Arabia Hamza Turabieh's profile →
Citations per field
00.5×3.6×
Hamza Turabieh · 1×
Citations per year

Countries citing papers authored by Wen Long

Since Specialization
Citations

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

Fields of papers citing papers by Wen Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019313
2
An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization
Hit paper breakdown →
2017243
3 2018154
4 2018140
5 2019127
6 2021120
7 202089
8 202082
9 201679
10 200175
11 200270
12 202169
13 202260
14 201459
15 201951
16 200648
17 201748
18 202245
19 201941
20 201340

About Wen Long

Wen Long is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Molecular Biology and Electrical and Electronic Engineering, having authored 95 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (29 papers), Advanced Multi-Objective Optimization Algorithms (19 papers), Evolutionary Algorithms and Applications (10 papers), Advanced Algorithms and Applications (9 papers), Muscle metabolism and nutrition (6 papers), Solar Radiation and Photovoltaics (6 papers), Photovoltaic System Optimization Techniques (6 papers) and Nitric Oxide and Endothelin Effects (5 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computational Theory and Mathematics (522 citations), Renewable Energy, Sustainability and the Environment (398 citations), Control and Systems Engineering (386 citations) and Energy Engineering and Power Technology (49 citations). Wen Long has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jianjun Jiao, Ximing Liang, Mingzhu Tang, Shaohong Cai, Tiebin Wu, Ming Xu, Eugene J. Barrett, Lawrence D. Longo, Li Zhang and Zhenqi Liu. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, IEEE Access, Engineering Applications of Artificial Intelligence, Expert Systems with Applications and The Journal of Clinical Endocrinology & Metabolism.

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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