Handong Wang

7.7k total citations · 3 hit papers
125 papers, 4.5k citations indexed

About

Handong Wang is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Molecular Biology. According to data from OpenAlex, Handong Wang has authored 125 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Materials Chemistry, 24 papers in Atomic and Molecular Physics, and Optics and 22 papers in Molecular Biology. Recurrent topics in Handong Wang's work include Machine Learning in Materials Science (31 papers), Advanced Chemical Physics Studies (10 papers) and Computational Drug Discovery Methods (9 papers). Handong Wang is often cited by papers focused on Machine Learning in Materials Science (31 papers), Advanced Chemical Physics Studies (10 papers) and Computational Drug Discovery Methods (9 papers). Handong Wang collaborates with scholars based in China, United States and Ukraine. Handong Wang's co-authors include Linfeng Zhang, E Weinan, Roberto Car, Jiequn Han, Christoph Junghans, Kurt Kremer, Mohan Chen, Denghui Lu, Tongqi Wen and David J. Srolovitz and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Handong Wang

104 papers receiving 4.4k citations

Hit Papers

Deep Potential Molecular Dynamics: A Scalable Model with ... 2018 2026 2020 2023 2018 2021 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Handong Wang China 30 2.8k 955 867 568 549 125 4.5k
Xiao He China 44 2.4k 0.8× 1.8k 1.9× 2.2k 2.5× 786 1.4× 573 1.0× 271 7.3k
Fabio Pietrucci France 35 1.5k 0.5× 2.2k 2.3× 949 1.1× 306 0.5× 304 0.6× 93 4.7k
Normand Mousseau Canada 46 2.9k 1.0× 2.3k 2.4× 1.1k 1.2× 1.1k 2.0× 392 0.7× 201 6.1k
Liang Hong China 33 1.3k 0.5× 990 1.0× 748 0.9× 488 0.9× 144 0.3× 176 3.8k
Albert P. Bartók United Kingdom 24 7.0k 2.5× 1.2k 1.2× 1.6k 1.9× 1.2k 2.1× 2.1k 3.8× 50 8.4k
Johannes Kästner Germany 42 2.0k 0.7× 2.1k 2.2× 2.0k 2.3× 531 0.9× 494 0.9× 257 7.8k
Satoshi Maeda Japan 55 3.2k 1.1× 1.6k 1.7× 3.0k 3.4× 1.1k 1.9× 632 1.2× 401 11.1k
Patrick W. Fowler United Kingdom 55 5.5k 1.9× 481 0.5× 2.7k 3.1× 1.3k 2.4× 296 0.5× 375 11.9k
Maxim V. Fedorov Russia 36 1.2k 0.4× 892 0.9× 1.2k 1.4× 1.2k 2.0× 521 0.9× 127 5.3k
Edoardo Aprà United States 40 3.4k 1.2× 714 0.7× 3.3k 3.9× 1.1k 2.0× 143 0.3× 107 8.7k

Countries citing papers authored by Handong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Handong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Handong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Handong Wang. A scholar is included among the top collaborators of Handong 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 Handong Wang. Handong 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.
Zhang, Yadong, Zongkun Li, Wei Ge, Jiabao Wang, & Handong Wang. (2025). A method to quantify the ecological benefits of river treatment projects with monetary values. Journal of Environmental Management. 377. 124653–124653.
2.
Liu, Xinzijian, et al.. (2025). The OpenLAM Challenges: LAM Crystal Philately competition. Machine Learning Science and Technology. 6(2). 20701–20701. 2 indexed citations
3.
Yang, Manyi, Duo Zhang, Bowen Li, et al.. (2025). Ab Initio Accuracy Neural Network Potential for Drug-Like Molecules. Research. 8. 837–837. 1 indexed citations
4.
Wang, Handong, et al.. (2025). Distribution System Blackstart and Restoration Using DERs and Dynamically Formed Microgrids. IEEE Transactions on Smart Grid. 16(3). 2100–2114.
5.
Wen, Tongqi, Yuzhi Zhang, Xinzijian Liu, et al.. (2025). APEX: an automated cloud-native material property explorer. npj Computational Materials. 11(1). 2 indexed citations
6.
Liu, Zhihong, Xiaojie Liu, Handong Wang, Shuaishuai Man, & Qun Yan. (2025). Ferrihydrite regulated nitrogen metabolic pathway at biocathode of bioelectrochemical system – Insight into biofilm formation and bacterial composition. Bioresource Technology. 424. 132275–132275. 1 indexed citations
7.
Chen, Chao, et al.. (2025). Involvement of STAT3 activation in ameliorating all-trans-retinal-induced ferroptosis in photoreceptor-derived 661W cells in vitro. Experimental Eye Research. 253. 110280–110280. 1 indexed citations
8.
Wang, Handong, et al.. (2025). Fatigue and its correlation with anxiety and depression in patients with multiple sclerosis in China. Frontiers in Neurology. 16. 1604540–1604540.
9.
Wang, Handong, Xumeng Zhang, Mengbo Wu, et al.. (2025). Glycerol treatment enhances resistance to soft rot disease and maintains postharvest quality in kiwifruit. Postharvest Biology and Technology. 228. 113630–113630. 4 indexed citations
10.
Wang, Handong, Yong Deng, Ruyu Zhang, et al.. (2024). Variations in volatile components and biological activities of essential oils from Citrus aurantium ‘changshanhuyou’ at different growth and ripening stages. Food Research International. 197(Pt 2). 115303–115303. 6 indexed citations
11.
Zeng, Qiyu, Handong Wang, Kaiguo Chen, et al.. (2024). Theoretical evidence of H-He demixing under Jupiter and Saturn conditions. Nature Communications. 15(1). 8543–8543. 10 indexed citations
12.
Wang, Zhenyu, Xiaoyang Wang, Pengyue Gao, et al.. (2024). Concurrent learning scheme for crystal structure prediction. Physical review. B.. 109(9). 11 indexed citations
13.
Wang, Handong, et al.. (2024). Influence factors of ecological environment in Wanjiang River Basin based on RSEI and CASA models. Frontiers in Ecology and Evolution. 12. 1 indexed citations
14.
Yuan, Fengbo, Jianchuan Liu, Hua-Yun Geng, et al.. (2023). Modeling the high-pressure solid and liquid phases of tin from deep potentials with ab initio accuracy. Physical Review Materials. 7(5). 11 indexed citations
15.
Wen, Tongqi, Linfeng Zhang, Jian Han, et al.. (2023). Modelling of dislocations, twins and crack-tips in HCP and BCC Ti. International Journal of Plasticity. 166. 103644–103644. 29 indexed citations
16.
Wang, Xiaoyang, Zhenyu Wang, Pengyue Gao, et al.. (2023). Data-driven prediction of complex crystal structures of dense lithium. Nature Communications. 14(1). 2924–2924. 33 indexed citations
17.
Wu, Xiaowei, Ming Chen, Weiwei Gao, et al.. (2022). Effect of liquidlike cations on electronic and defect properties of solid solutions of Cu2Te and Ag2Te. Physical review. B.. 105(19). 6 indexed citations
18.
Wen, Tongqi, Lingyu Zhu, Linfeng Zhang, et al.. (2021). Specialising neural network potentials for accurate properties and application to the mechanical response of titanium. npj Computational Materials. 7(1). 56 indexed citations
19.
Wang, Yinan, et al.. (2021). A generalizable machine learning potential of Ag–Au nanoalloys and its application to surface reconstruction, segregation and diffusion. Modelling and Simulation in Materials Science and Engineering. 30(2). 25003–25003. 21 indexed citations
20.
Ko, Hsin-Yu, Linfeng Zhang, Biswajit Santra, et al.. (2019). Isotope effects in liquid water via deep potential molecular dynamics. Molecular Physics. 117(22). 3269–3281. 56 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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