Ling Gui

1.2k citations
31 papers · 947 · h-index 13

Impact in

Papers in

Ling Gui

26 papers receiving 924 citations

Peers

Ling Gui
Comparison fields: 5 of 87
  • Computational Theory and Mathematics 424
  • Artificial Intelligence 706
  • Control and Systems Engineering 152
  • Industrial and Manufacturing Engineering 57
  • Numerical Analysis 30
Replace Ali Khater Mohamed with:
Ali Khater Mohamed Egypt
Nandar Lynn Singapore
Yiying Zhang China
Sukanta Nama India
Hongrun Wu China
Jarosław Arabas Poland
Qamar Askari Pakistan
Ernesto Mininno Finland
Shuijia Li China
Fernando Fausto Mexico
Ling Gui relative to Ali Khater Mohamed Egypt Ali Khater Mohamed's profile →
Citations per field
00.5×
Ali Khater Mohamed · 1×
Citations per year

Countries citing papers authored by Ling Gui

Since Specialization
Citations

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

Fields of papers citing papers by Ling Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019185
2 2019136
3 2018113
4 202097
5 202076
6 201769
7 201867
8 201947
9 202134
10 202226
11 202021
12 202019
13 201914
14 20219
15 20239
16 20194
17 20204
18 20113
19
Application of Life Cycle Assessment in Evaluating the Environmental Performance of Energy Recovery Technology With Waste Plastic
20102
20
Predictability of Vocabulary Size on Learners’ EFL Proficiency: Taking VST, CET4 and CET6 as Instruments
20152

About Ling Gui

Ling Gui is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 947 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (13 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Advanced Algorithms and Applications (3 papers), Artificial Immune Systems Applications (3 papers), Educational Technology and Pedagogy (2 papers), Image Enhancement Techniques (2 papers) and Environmental Impact and Sustainability (1 paper). The work is most often cited by research in Computational Theory and Mathematics (424 citations), Artificial Intelligence (706 citations), Control and Systems Engineering (152 citations), Industrial and Manufacturing Engineering (57 citations) and Numerical Analysis (30 citations). Ling Gui has collaborated with scholars based in China. Frequent co-authors include Xuewen Xia, Bo Wei, Zhi‐Hui Zhan, Hongrun Wu, Fei Yu, Guoliang He, Yinglong Zhang, Yinglong Zhang, Xing Xu and Ying Xing. Their work appears in journals such as Information Sciences, Swarm and Evolutionary Computation, Analytical and Bioanalytical Chemistry, IEEE Transactions on Cybernetics and Journal of Computational Science.

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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