Heshan Wang

1.4k total citations · 1 hit paper
28 papers, 1.2k citations indexed

About

Heshan Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Heshan Wang has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Heshan Wang's work include Neural Networks and Applications (8 papers), Neural Networks and Reservoir Computing (7 papers) and Advanced Memory and Neural Computing (5 papers). Heshan Wang is often cited by papers focused on Neural Networks and Applications (8 papers), Neural Networks and Reservoir Computing (7 papers) and Advanced Memory and Neural Computing (5 papers). Heshan Wang collaborates with scholars based in China, Canada and Netherlands. Heshan Wang's co-authors include Jing Liang, Boyang Qu, Kunjie Yu, Xu Chen, Zhiping Cheng, Kunjie Yu, Xiubo Xie, Jing Liang, Lili Liu and Yiping Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Applied Energy.

In The Last Decade

Heshan Wang

27 papers receiving 1.2k citations

Hit Papers

Parameters identification of photovoltaic models using an... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heshan Wang China 12 778 597 278 134 122 28 1.2k
Abdelkader Abbassi Tunisia 12 650 0.8× 639 1.1× 566 2.0× 20 0.1× 24 0.2× 22 1.3k
Lijun Gao China 13 124 0.2× 397 0.7× 746 2.7× 132 1.0× 81 0.7× 32 1.1k
A. Gandelli Italy 15 188 0.2× 173 0.3× 384 1.4× 20 0.1× 62 0.5× 74 652
K. M. El-Naggar Kuwait 17 907 1.2× 1.0k 1.8× 1.1k 4.0× 44 0.3× 14 0.1× 50 1.8k
Gabriele Maria Lozito Italy 20 202 0.3× 261 0.4× 625 2.2× 184 1.4× 25 0.2× 98 1.0k
Silvano Vergura Italy 19 414 0.5× 687 1.2× 451 1.6× 10 0.1× 35 0.3× 89 1.0k
Daming Zhou China 21 118 0.2× 381 0.6× 1.4k 5.0× 46 0.3× 54 0.4× 48 1.8k
Suttichai Premrudeepreechacharn Thailand 27 296 0.4× 405 0.7× 1.8k 6.6× 74 0.6× 28 0.2× 147 2.2k
Muhammad Amjad Pakistan 16 620 0.8× 971 1.6× 1.0k 3.7× 11 0.1× 33 0.3× 53 1.6k
Weirong Chen China 13 125 0.2× 155 0.3× 587 2.1× 18 0.1× 39 0.3× 31 896

Countries citing papers authored by Heshan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Heshan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heshan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Heshan Wang. A scholar is included among the top collaborators of Heshan Wang 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 Heshan Wang. Heshan Wang 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.
Yu, Kunjie, Xuyang Zhang, Jing Liang, et al.. (2025). Historical Information-Assisted Dynamic Response Integration and Adaptive Niche Methods for Dynamic Multimodal Optimization. IEEE Transactions on Evolutionary Computation. 29(5). 1475–1489. 2 indexed citations
2.
Tong, Chudong, et al.. (2025). PVA-BLS: Polynomial vector autoregression broad learning system for multivariate time series prediction. Knowledge-Based Systems. 326. 114025–114025.
3.
Sun, Xueqin, Heshan Wang, Chuanxin Hou, et al.. (2025). Electromagnetic Wave Absorption Performance of Co3Fe7/Melamine Sponge Carbon Composites. Langmuir. 41(27). 18045–18057. 1 indexed citations
4.
Wang, Heshan, et al.. (2024). SFM-GMDH: Sparse Feature Mapping GMDH Network for Time Series Prediction. 1862–1867. 3 indexed citations
5.
Xin, Jianbin, Xu Tao, Jihong Zhu, Heshan Wang, & Jinzhu Peng. (2024). Long Short‐Term Memory‐Based Multi‐Robot Trajectory Planning: Learn from MPCC and Make It Better. SHILAP Revista de lepidopterología. 6(9). 9 indexed citations
6.
Xie, Xiubo, Heshan Wang, Hideo Kimura, et al.. (2024). NiCoZn/C@melamine sponge-derived carbon composites with high-performance electromagnetic wave absorption. International Journal of Minerals Metallurgy and Materials. 31(10). 2274–2286. 57 indexed citations
7.
Yu, Kunjie, et al.. (2024). Constraint subsets-based evolutionary multitasking for constrained multiobjective optimization. Swarm and Evolutionary Computation. 86. 101531–101531. 7 indexed citations
8.
Wang, Dongshu, et al.. (2023). Decision optimisation of a mobile robot in a complex environment based on memory sequence replay mechanism. International Journal of Automation and Control. 17(5). 461–486. 1 indexed citations
9.
Ma, Tianlei, Zhen Yang, Yifan Song, Jing Liang, & Heshan Wang. (2023). DMEF-Net: Lightweight Infrared Dim Small Target Detection Network for Limited Samples. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 14 indexed citations
10.
Wang, Heshan, Yiping Zhang, Jing Liang, & Lili Liu. (2022). DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction. Neural Networks. 157. 240–256. 68 indexed citations
11.
Wang, Heshan, et al.. (2022). Discriminative and regularized echo state network for time series classification. Pattern Recognition. 130. 108811–108811. 14 indexed citations
12.
Xie, Xiubo, Yukun Wang, Xueqin Sun, et al.. (2022). Optimizing impedance matching by a dual-carbon Co-regulation strategy of Co3O4@rGO/celery stalks derived carbon composites for excellent microwave absorption. Journal of Material Science and Technology. 133. 1–11. 81 indexed citations
13.
Wang, Dongshu, Kai Yang, Lei Liu, & Heshan Wang. (2021). An Incremental Learning Model for Mobile Robot: From Short-Term Memory to Long-Term Memory. IEEE Transactions on Artificial Intelligence. 3(5). 798–808. 4 indexed citations
14.
Wang, Dongshu, Kai Yang, Heshan Wang, & Lei Liu. (2021). Behavioral Decision-Making of Mobile Robot in Unknown Environment with the Cognitive Transfer. Journal of Intelligent & Robotic Systems. 103(1). 6 indexed citations
15.
Xin, Jianbin, et al.. (2021). Time-dependent rural postman problem: time-space network formulation and genetic algorithm. Operational Research. 22(3). 2943–2972. 5 indexed citations
16.
Wang, Dongshu, et al.. (2020). Face Recognition in Complex Unconstrained Environment with An Enhanced WWN Algorithm. SHILAP Revista de lepidopterología. 30(1). 18–39. 6 indexed citations
17.
Wang, Dongshu, et al.. (2019). Goal-directed autonomous navigation of mobile robot based on the principle of neuromodulation. Network Computation in Neural Systems. 30(1-4). 79–106. 1 indexed citations
18.
Wang, Heshan, Q. M. Jonathan Wu, Jianbin Xin, Jie Wang, & Heng Zhang. (2019). Optimizing Deep Belief Echo State Network with a Sensitivity Analysis Input Scaling Auto-Encoder algorithm. Knowledge-Based Systems. 191. 105257–105257. 12 indexed citations
19.
Yu, Kunjie, Jing Liang, Boyang Qu, Zhiping Cheng, & Heshan Wang. (2018). Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models. Applied Energy. 226. 408–422. 327 indexed citations
20.
Wang, Heshan, et al.. (2016). Optimizing the echo state network based on mutual information for modeling fed-batch bioprocesses. Neurocomputing. 225. 111–118. 18 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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