Nengxian Liu

521 total citations
13 papers, 374 citations indexed

About

Nengxian Liu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nengxian Liu has authored 13 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nengxian Liu's work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Evolutionary Algorithms and Applications (8 papers). Nengxian Liu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Evolutionary Algorithms and Applications (8 papers). Nengxian Liu collaborates with scholars based in China, Taiwan and Vietnam. Nengxian Liu's co-authors include Jeng‐Shyang Pan, Shu‐Chuan Chu, Taotao Lai, Trong-The Nguyen, Chaoli Sun, Jin Wang, Genggeng Liu, Ye Tian, Pei Hu and Jinfeng Lai and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Nengxian Liu

12 papers receiving 368 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nengxian Liu China 8 255 177 65 54 45 13 374
Chaoda Peng China 12 217 0.9× 217 1.2× 81 1.2× 67 1.2× 28 0.6× 23 385
Yintong Li China 11 330 1.3× 149 0.8× 43 0.7× 29 0.5× 36 0.8× 19 426
Tim Hendtlass Australia 14 291 1.1× 193 1.1× 38 0.6× 52 1.0× 40 0.9× 45 423
Binping Zhao China 5 190 0.7× 79 0.4× 57 0.9× 49 0.9× 46 1.0× 6 356
Doaa El-Shahat Egypt 4 190 0.7× 81 0.5× 47 0.7× 54 1.0× 61 1.4× 10 347
Ahmet Babalık Türkiye 7 191 0.7× 114 0.6× 31 0.5× 28 0.5× 43 1.0× 17 321
Farid MiarNaeimi Iran 6 204 0.8× 115 0.6× 33 0.5× 32 0.6× 47 1.0× 6 368
Shoufei Han China 11 229 0.9× 82 0.5× 74 1.1× 56 1.0× 43 1.0× 19 379
Ziqian Wang Japan 9 266 1.0× 112 0.6× 65 1.0× 24 0.4× 39 0.9× 23 393

Countries citing papers authored by Nengxian Liu

Since Specialization
Citations

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

Fields of papers citing papers by Nengxian Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nengxian Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Nengxian Liu. A scholar is included among the top collaborators of Nengxian Liu 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 Nengxian Liu. Nengxian Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Liu, Nengxian, et al.. (2024). A Multi-Objective Sine Cosine Algorithm Based on a Competitive Mechanism and Its Application in Engineering Design Problems. Biomimetics. 9(2). 115–115. 2 indexed citations
3.
Liu, Genggeng, et al.. (2023). Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization. Swarm and Evolutionary Computation. 83. 101410–101410. 16 indexed citations
4.
Pan, Jeng‐Shyang, Nengxian Liu, & Shu‐Chuan Chu. (2022). A competitive mechanism based multi-objective differential evolution algorithm and its application in feature selection. Knowledge-Based Systems. 245. 108582–108582. 37 indexed citations
5.
Liu, Nengxian, Jeng‐Shyang Pan, Shu‐Chuan Chu, & Pei Hu. (2022). A sinusoidal social learning swarm optimizer for large-scale optimization. Knowledge-Based Systems. 259. 110090–110090. 7 indexed citations
6.
Liu, Nengxian, Jeng‐Shyang Pan, Shu‐Chuan Chu, & Taotao Lai. (2022). A surrogate-assisted bi-swarm evolutionary algorithm for expensive optimization. Applied Intelligence. 53(10). 12448–12471. 11 indexed citations
7.
Liu, Nengxian, Jeng‐Shyang Pan, & Shu‐Chuan Chu. (2020). A Competitive Learning QUasi Affine TRansformation Evolutionary for Global Optimization and Its Application in CVRP. 網際網路技術學刊. 21(7). 1863–1883. 6 indexed citations
8.
Liu, Nengxian, Jeng‐Shyang Pan, Chaoli Sun, & Shu‐Chuan Chu. (2020). An efficient surrogate-assisted quasi-affine transformation evolutionary algorithm for expensive optimization problems. Knowledge-Based Systems. 209. 106418–106418. 48 indexed citations
9.
Pan, Jeng‐Shyang, Nengxian Liu, & Shu‐Chuan Chu. (2020). A Hybrid Differential Evolution Algorithm and Its Application in Unmanned Combat Aerial Vehicle Path Planning. IEEE Access. 8. 17691–17712. 80 indexed citations
10.
Liu, Nengxian, Jeng‐Shyang Pan, Jinfeng Lai, Shu‐Chuan Chu, & Trong-The Nguyen. (2020). An Efficient Differential Evolution Via Both Top Collective and p-Best Information. 網際網路技術學刊. 21(3). 629–643. 4 indexed citations
11.
Pan, Jeng‐Shyang, Nengxian Liu, Shu‐Chuan Chu, & Taotao Lai. (2020). An efficient surrogate-assisted hybrid optimization algorithm for expensive optimization problems. Information Sciences. 561. 304–325. 108 indexed citations
12.
Liu, Nengxian, Jeng‐Shyang Pan, & Trong-The Nguyen. (2019). A bi-population QUasi-Affine TRansformation Evolution algorithm for global optimization and its application to dynamic deployment in wireless sensor networks. EURASIP Journal on Wireless Communications and Networking. 2019(1). 26 indexed citations
13.
Liu, Nengxian, Jeng‐Shyang Pan, Jin Wang, & Trong-The Nguyen. (2019). An Adaptation Multi-Group Quasi-Affine Transformation Evolutionary Algorithm for Global Optimization and Its Application in Node Localization in Wireless Sensor Networks. Sensors. 19(19). 4112–4112. 29 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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