Linjun He

708 total citations
27 papers, 469 citations indexed

About

Linjun He is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Linjun He has authored 27 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 18 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Linjun He's work include Advanced Multi-Objective Optimization Algorithms (20 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Evolutionary Algorithms and Applications (17 papers). Linjun He is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (20 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Evolutionary Algorithms and Applications (17 papers). Linjun He collaborates with scholars based in China, Singapore and Mexico. Linjun He's co-authors include Hisao Ishibuchi, Ke Shang, Lie Meng Pang, Dipti Srinivasan, Anupam Trivedi, Handing Wang, Chenchang Zhan, Lidan Wang, C.I. Huang and Nan Yang and has published in prestigious journals such as Journal of Cleaner Production, IEEE Access and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Linjun He

25 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linjun He China	10	260	236	79	53	47	27	469
João A. Duro United Kingdom	7	217 0.8×	201 0.9×	51 0.6×	58 1.1×	26 0.6×	13	410
Kyle Robert Harrison Canada	11	136 0.5×	236 1.0×	53 0.7×	37 0.7×	25 0.5×	30	442
Qunfeng Liu China	12	184 0.7×	230 1.0×	31 0.4×	31 0.6×	50 1.1×	33	438
Gajanan Waghmare India	8	125 0.5×	182 0.8×	88 1.1×	42 0.8×	35 0.7×	9	454
Yicun Hua China	5	229 0.9×	249 1.1×	30 0.4×	40 0.8×	21 0.4×	8	396
Luka Mernik United States	5	122 0.5×	221 0.9×	53 0.7×	37 0.7×	20 0.4×	7	371
Nengxian Liu China	8	177 0.7×	255 1.1×	45 0.6×	27 0.5×	16 0.3×	13	374
Anita Anita Indonesia	6	129 0.5×	260 1.1×	96 1.2×	50 0.9×	16 0.3×	23	483
Binping Zhao China	5	79 0.3×	190 0.8×	46 0.6×	42 0.8×	32 0.7×	6	356
Ahmet Babalık Türkiye	7	114 0.4×	191 0.8×	43 0.5×	53 1.0×	29 0.6×	17	321

Countries citing papers authored by Linjun He

Since Specialization

Citations

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

Fields of papers citing papers by Linjun He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linjun He

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

All Works

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20 of 20 papers shown

Zhang, Tong, Qian Tan, Tianyuan Zhang, et al.. (2024). A multi-objective optimization decision-making methodology for fostering synergies in the water-energy-food nexus. Journal of Cleaner Production. 479. 144051–144051. 3 indexed citations

He, Linjun, et al.. (2023). Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems. Proceedings of the Genetic and Evolutionary Computation Conference. 670–678. 1 indexed citations

He, Linjun, et al.. (2023). Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms. Swarm and Evolutionary Computation. 79. 101305–101305. 4 indexed citations

He, Linjun, et al.. (2022). Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 27(5). 1177–1191. 7 indexed citations

Shang, Ke, et al.. (2022). An Improved Local Search Method for Large-Scale Hypervolume Subset Selection. IEEE Transactions on Evolutionary Computation. 27(6). 1690–1704. 5 indexed citations

Ishibuchi, Hisao, et al.. (2022). A classification-assisted environmental selection strategy for multiobjective optimization. Swarm and Evolutionary Computation. 71. 101074–101074. 9 indexed citations

He, Linjun, et al.. (2022). Dual-Fuzzy-Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 27(6). 1575–1589. 16 indexed citations

He, Linjun, et al.. (2021). A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 25(6). 1028–1048. 61 indexed citations

Ishibuchi, Hisao, et al.. (2021). Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. Proceedings of the Genetic and Evolutionary Computation Conference. 485–492. 2 indexed citations

10.

Shang, Ke, et al.. (2021). A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. 2468–2475. 2 indexed citations

11.

He, Linjun, Hisao Ishibuchi, & Dipti Srinivasan. (2021). Metric for evaluating normalization methods in multiobjective optimization. Proceedings of the Genetic and Evolutionary Computation Conference. 403–411. 3 indexed citations

12.

Shang, Ke, et al.. (2020). Reverse Strategy for Non-Dominated Archiving. IEEE Access. 8. 119458–119469. 6 indexed citations

13.

Shang, Ke, Hisao Ishibuchi, Linjun He, & Lie Meng Pang. (2020). A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 25(1). 1–20. 215 indexed citations

14.

He, Linjun, Hisao Ishibuchi, Anupam Trivedi, & Dipti Srinivasan. (2020). Dynamic Normalization in MOEA/D for Multiobjective optimization. 1–8. 11 indexed citations

15.

Ishibuchi, Hisao, Linjun He, & Ke Shang. (2019). Regular Pareto Front Shape is not Realistic. 2034–2041. 31 indexed citations

16.

He, Linjun, et al.. (2019). A Study of the Naïve Objective Space Normalization Method in MOEA/D. 1834–1840. 7 indexed citations

17.

Zhan, Chenchang, et al.. (2018). A Wide-Load-Range Mixed-Mode LDO Regulator with Single-Transistor-Assisted Buffer. 162–165. 2 indexed citations

18.

Huang, C.I., Chenchang Zhan, Linjun He, Lidan Wang, & Nan Yang. (2018). A 0.6-V Minimum-Supply, 23.5 ppm/°C Subthreshold CMOS Voltage Reference With 0.45% Variation Coefficient. IEEE Transactions on Circuits & Systems II Express Briefs. 65(10). 1290–1294. 24 indexed citations

19.

Wang, Lidan, Chenchang Zhan, Linjun He, et al.. (2018). A Low-Power High-PSRR CMOS Voltage Reference with Active-Feedback Frequency Compensation for IoT Applications. 1–4. 14 indexed citations

20.

He, Linjun, et al.. (2010). Multidisciplinary design and optimization of an air launched satellite launch vehicle using a hybrid heuristic search algorithm. Engineering Optimization. 43(3). 305–328. 13 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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