Haichuan Yang

913 total citations
74 papers, 604 citations indexed

About

Haichuan Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Haichuan Yang has authored 74 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Computational Theory and Mathematics. Recurrent topics in Haichuan Yang's work include Metaheuristic Optimization Algorithms Research (33 papers), Evolutionary Algorithms and Applications (19 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). Haichuan Yang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (33 papers), Evolutionary Algorithms and Applications (19 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). Haichuan Yang collaborates with scholars based in Japan, China and Australia. Haichuan Yang's co-authors include Shangce Gao, Zhenyu Lei, Jiayi Li, Yuki Todo, Yirui Wang, Jun Zhou, Xiao Bai, Zhiming Zhang, Haotian Li and Jian Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Journal and IEEE Transactions on Image Processing.

In The Last Decade

Haichuan Yang

64 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haichuan Yang Japan	14	358	132	117	83	70	74	604
Jingyu Zhong China	11	285 0.8×	130 1.0×	108 0.9×	47 0.6×	45 0.6×	17	435
Andi Tang China	8	256 0.7×	109 0.8×	68 0.6×	79 1.0×	43 0.6×	13	471
Honghua Rao China	12	368 1.0×	190 1.4×	105 0.9×	81 1.0×	35 0.5×	19	624
Changsheng Wen China	10	355 1.0×	182 1.4×	90 0.8×	74 0.9×	29 0.4×	12	588
Lei Xie China	10	284 0.8×	109 0.8×	81 0.7×	129 1.6×	87 1.2×	43	602
Qingxin Liu China	14	450 1.3×	224 1.7×	128 1.1×	87 1.0×	31 0.4×	35	715
Caiyang Yu China	8	313 0.9×	99 0.8×	77 0.7×	67 0.8×	27 0.4×	12	513
Shijie Zhao China	8	382 1.1×	165 1.3×	84 0.7×	148 1.8×	61 0.9×	28	712
Miguel Cienfuegos Germany	3	342 1.0×	156 1.2×	71 0.6×	83 1.0×	21 0.3×	5	521

Countries citing papers authored by Haichuan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Haichuan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haichuan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Haichuan Yang. A scholar is included among the top collaborators of Haichuan Yang 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 Haichuan Yang. Haichuan Yang 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

Tao, Sichen, et al.. (2025). A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization. Mathematics. 13(2). 282–282. 1 indexed citations

Yang, Haichuan, et al.. (2024). Hierarchical Chaotic Wingsuit Flying Search Algorithm with Balanced Exploitation and Exploration for Optimization. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E108.A(2). 83–93. 1 indexed citations

Wang, Yirui, et al.. (2024). Population interaction network in representative gravitational search algorithms: Logistic distribution leads to worse performance. Heliyon. 10(11). e31631–e31631. 2 indexed citations

Lei, Zhenyu, et al.. (2024). A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization. Swarm and Evolutionary Computation. 92. 101832–101832. 4 indexed citations

Jawahar, Ganesh, Haichuan Yang, Yunyang Xiong, et al.. (2024). Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. 10424–10443.

Yang, Haichuan, et al.. (2024). Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization. 1–8. 2 indexed citations

Tao, Sichen, et al.. (2024). A Multi-Local Search-Based SHADE for Wind Farm Layout Optimization. Electronics. 13(16). 3196–3196. 2 indexed citations

Yang, Haichuan, et al.. (2023). Economic and environmental assessment of a novel gas-electric hybrid cooling production system adapted to southern China. Energy Conversion and Management. 295. 117657–117657. 1 indexed citations

Liu, Chunxi, Yuan Shangguan, Haichuan Yang, et al.. (2023). Learning a Dual-Mode Speech Recognition Model VIA Self-Pruning. 273–279. 5 indexed citations

10.

Liu, Bo, Renyuan Zhang, Haichuan Yang, et al.. (2023). A 3.8-μW 10-Keyword Noise-Robust Keyword Spotting Processor Using Symmetric Compressed Ternary-Weight Neural Networks. SHILAP Revista de lepidopterología. 3. 185–196. 1 indexed citations

11.

Li, Xiaosi, et al.. (2023). Yet Another Effective Dendritic Neuron Model Based on the Activity of Excitation and Inhibition. Mathematics. 11(7). 1701–1701. 5 indexed citations

12.

Yang, Haichuan, Shangce Gao, Zhenyu Lei, et al.. (2023). An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem. Engineering Applications of Artificial Intelligence. 123. 106198–106198. 22 indexed citations

13.

Yang, Haichuan, et al.. (2023). Swarm Exploration Mechanism-Based Distributed Water Wave Optimization. International Journal of Computational Intelligence Systems. 16(1). 4 indexed citations

14.

Yang, Haichuan, et al.. (2023). A Non-Revisiting Equilibrium Optimizer Algorithm. IEICE Transactions on Information and Systems. E106.D(3). 365–373. 2 indexed citations

15.

Zhang, Zihang, et al.. (2023). Triple-layered chaotic differential evolution algorithm for layout optimization of offshore wave energy converters. Expert Systems with Applications. 239. 122439–122439. 10 indexed citations

16.

Hao, Qiang, Lin Zhu, Junming Fan, et al.. (2023). Zero-energy penalty carbon capture and utilization system based on CLHG integrating SOFC for power and methanol cogeneration. Energy Conversion and Management. 295. 117658–117658. 18 indexed citations

17.

Yang, Haichuan, et al.. (2022). A Novel Differential Evolution Sparrow Search Algorithm. 1. 1–5. 1 indexed citations

18.

Yang, Haichuan, et al.. (2019). Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization.. arXiv (Cornell University). 3 indexed citations

19.

Wang, Haotao, et al.. (2019). Adversarially Trained Model Compression: When Robustness Meets Efficiency.. arXiv (Cornell University). 3 indexed citations

20.

Yang, Haichuan, Yuhao Zhu, & Ji Liu. (2018). End-to-End Learning of Energy-Constrained Deep Neural Networks.. arXiv (Cornell University). 6 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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