Lingping Kong

995 total citations · 1 hit paper
38 papers, 645 citations indexed

About

Lingping Kong is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Lingping Kong has authored 38 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Lingping Kong's work include Metaheuristic Optimization Algorithms Research (11 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Lingping Kong is often cited by papers focused on Metaheuristic Optimization Algorithms Research (11 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Lingping Kong collaborates with scholars based in Czechia, China and Australia. Lingping Kong's co-authors include Jeng‐Shyang Pan, Václav Snåšel, Pei‐Wei Tsai, Tien‐Wen Sung, Zhenyu Meng, Shu‐Chuan Chu, Xiaopeng Wang, Hisham A. Shehadeh, Seyedali Mirjalili and Ai-Qing Tian and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Energy.

In The Last Decade

Lingping Kong

35 papers receiving 612 citations

Hit Papers

Artificial Protozoa Optimizer (APO): A novel bio-inspired... 2024 2026 2025 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization
    2024 93 citations Václav Snåšel, Seyedali Mirjalili et al. profile →

Peers

Lingping Kong
Jianji Ren China
Hisham A. Shehadeh Jordan
Saeid Barshandeh Iran
Diana Manjarrés Spain
Nitish Chopra India
Mohammed R. Saad Egypt
Laila Abdel‐Fatah Egypt
Qingjiao Cao China
Jianji Ren China
Lingping Kong
Citations per year, relative to Lingping Kong Lingping Kong (= 1×) peers Jianji Ren

Countries citing papers authored by Lingping Kong

Since Specialization
Citations

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

Fields of papers citing papers by Lingping Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingping Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Lingping Kong. A scholar is included among the top collaborators of Lingping Kong 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 Lingping Kong. Lingping Kong 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
1.
Meng, Zhenyu, et al.. (2025). Surrogate-assisted differential evolution: A survey. Swarm and Evolutionary Computation. 94. 101879–101879. 3 indexed citations
2.
Kong, Lingping, Z. Y. You, Xinyu Li, et al.. (2025). A review of Psoralea corylifolia L.: a valuable plant with profound biological significance. Frontiers in Pharmacology. 15. 1521040–1521040. 6 indexed citations
3.
Kong, Lingping, et al.. (2025). Enhancing skin cancer detection through category representation and fusion of pre-trained models. Information Fusion. 124. 103369–103369.
4.
Chu, Shu‐Chuan, et al.. (2025). Surrogate-assisted differential evolutionary algorithm with dynamic region exploration for expensive optimization problems. Applied Soft Computing. 183. 113619–113619.
5.
Snåšel, Václav, Lingping Kong, & Swagatam Das. (2024). From constraints fusion to manifold optimization: A new directional transport manifold metaheuristic algorithm. Information Fusion. 113. 102596–102596. 2 indexed citations
6.
Chu, Shu‐Chuan, et al.. (2024). DWSR: an architecture optimization framework for adaptive super-resolution neural networks based on meta-heuristics. Artificial Intelligence Review. 57(2). 1 indexed citations
7.
8.
Chai, Qing-Wei, et al.. (2024). A novel Discrete Artificial Bee Colony algorithm combined with adaptive filtering to extract Fetal Electrocardiogram signals. Expert Systems with Applications. 247. 123173–123173. 7 indexed citations
9.
Kong, Lingping, René Jaroš, Seyedali Mirjalili, et al.. (2024). Analysis on fetal phonocardiography segmentation problem by hybridized classifier. Engineering Applications of Artificial Intelligence. 135. 108621–108621. 4 indexed citations
10.
Suganthan, Ponnuthurai Nagaratnam, et al.. (2024). Euclidean and Poincaré space ensemble Xgboost. Information Fusion. 115. 102746–102746. 2 indexed citations
11.
12.
Pan, Jeng‐Shyang, et al.. (2024). A decomposition framework based on memorized binary search for large-scale optimization problems. Information Sciences. 679. 121063–121063. 1 indexed citations
13.
Snåšel, Václav, Martin Štěpnička, Varun Ojha, et al.. (2023). Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network. Information Fusion. 102. 102067–102067. 8 indexed citations
14.
Kong, Lingping, Seyedali Mirjalili, Václav Snåšel, et al.. (2023). Analysis on population-based algorithm optimized filter for non-invasive fECG extraction. Applied Soft Computing. 142. 110323–110323. 2 indexed citations
15.
Snåšel, Václav, Irina Perfilieva, Meenu Singh, et al.. (2023). A rankability-based fuzzy decision making procedure for oil supplier selection. Applied Soft Computing. 149. 110956–110956. 3 indexed citations
16.
Singh, Meenu, Millie Pant, Lingping Kong, Zahra Alijani, & Václav Snåšel. (2022). A PCA-based fuzzy tensor evaluation model for multiple-criteria group decision making. Applied Soft Computing. 132. 109753–109753. 8 indexed citations
17.
Pan, Jeng‐Shyang, Lingping Kong, Tien‐Wen Sung, Pei‐Wei Tsai, & Václav Snåšel. (2018). A Clustering Scheme for Wireless Sensor Networks Based on Genetic Algorithm and Dominating Set. 網際網路技術學刊. 19(4). 1111–1118. 52 indexed citations
18.
Pan, Jeng‐Shyang, Lingping Kong, Tien‐Wen Sung, Shu‐Chuan Chu, & John F. Roddick. (2018). Hierarchical Routing Strategy for Wireless Sensor Network. 9(1). 256–264. 1 indexed citations
19.
Pan, Jeng‐Shyang, Lingping Kong, Tien‐Wen Sung, Pei‐Wei Tsai, & Václav Snåšel. (2018). α-Fraction First Strategy for Hierarchical Model in Wireless Sensor Networks. 網際網路技術學刊. 19(6). 1717–1726. 76 indexed citations
20.
Kong, Lingping, Jeng‐Shyang Pan, Václav Snåšel, Pei‐Wei Tsai, & Tien‐Wen Sung. (2017). An energy-aware routing protocol for wireless sensor network based on genetic algorithm. Telecommunication Systems. 67(3). 451–463. 63 indexed citations

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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