Haoyang Wu

1.8k total citations · 1 hit paper
65 papers, 1.1k citations indexed

About

Haoyang Wu is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Haoyang Wu has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 10 papers in Computational Theory and Mathematics and 9 papers in Computer Networks and Communications. Recurrent topics in Haoyang Wu's work include Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (8 papers) and Wireless Networks and Protocols (7 papers). Haoyang Wu is often cited by papers focused on Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (8 papers) and Wireless Networks and Protocols (7 papers). Haoyang Wu collaborates with scholars based in China, United States and Israel. Haoyang Wu's co-authors include William H. Green, Florence H. Vermeire, Yunsie Chung, Shih‐Cheng Li, Esther Heid, Kevin P. Greenman, Charles J. McGill, David Graff, Michael H. Abraham and Pierre J. Walker and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Haoyang Wu

49 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chemprop: A Machine Learning Package for Chemical Property Prediction

2023 250 citations Esther Heid, Kevin P. Greenman et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haoyang Wu China	16	449	407	216	176	175	65	1.1k
Edward O. Pyzer‐Knapp United Kingdom	19	947 2.1×	354 0.9×	229 1.1×	195 1.1×	248 1.4×	44	1.6k
Hua Yuan China	19	231 0.5×	146 0.4×	156 0.7×	149 0.8×	104 0.6×	94	1.1k
Robert Pollice Canada	18	791 1.8×	335 0.8×	218 1.0×	199 1.1×	368 2.1×	39	1.7k
Graham Keenan United Kingdom	10	576 1.3×	190 0.5×	220 1.0×	463 2.6×	122 0.7×	11	1.2k
Li Zeng China	17	325 0.7×	86 0.2×	197 0.9×	214 1.2×	107 0.6×	49	1.2k
Yue Yang China	17	431 1.0×	138 0.3×	519 2.4×	78 0.4×	169 1.0×	63	1.5k
Alain C. Vaucher Switzerland	16	806 1.8×	517 1.3×	314 1.5×	177 1.0×	61 0.3×	34	1.2k
Nathan O. Hodas United States	12	321 0.7×	302 0.7×	273 1.3×	96 0.5×	66 0.4×	23	1.2k
Jarosław M. Granda Poland	13	850 1.9×	378 0.9×	331 1.5×	552 3.1×	152 0.9×	23	1.6k
AkshatKumar Nigam Canada	11	817 1.8×	598 1.5×	384 1.8×	148 0.8×	147 0.8×	14	1.4k

Countries citing papers authored by Haoyang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Haoyang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyang Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Guan, Hong, et al.. (2025). EARTH: Efficient Architecture for RISC-V Vector Memory Access. 122–134.

2.

Yang, Junjun, Ying Yu, Zheng Chen, et al.. (2025). The effect of La2O3 content on thermal stability of W-La2O3 alloys. International Journal of Refractory Metals and Hard Materials. 133. 107350–107350.

3.

Zhang, Jing, et al.. (2025). Self-adaptive auditory perceptual system for voice instruction recognition powered by triboelectric acoustic sensor. Chemical Engineering Journal. 525. 170267–170267.

4.

Wang, Wen, Haoyang Wu, Xianchao Zhao, et al.. (2024). Disrupted topological properties of structural brain networks present a glutamatergic neuropathophysiology in people with narcolepsy. SLEEP. 47(6). 2 indexed citations

5.

Wu, Haoyang, et al.. (2024). AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and Sustainability. Journal of the Knowledge Economy. 16(1). 3826–3868. 23 indexed citations

6.

Wu, Haoyang, Peiyuan Lv, Jinyu Wang, et al.. (2024). Genetic screen identified PRMT5 as a neuroprotection target against cerebral ischemia. eLife. 12. 2 indexed citations

7.

Zheng, Zhiling, Haoyang Wu, Shih‐Cheng Li, et al.. (2024). Integrating Machine Learning and Large Language Models to Advance Exploration of Electrochemical Reactions. Angewandte Chemie. 137(6). 3 indexed citations

8.

Zheng, Zhiling, Haoyang Wu, Shih‐Cheng Li, et al.. (2024). Integrating Machine Learning and Large Language Models to Advance Exploration of Electrochemical Reactions. Angewandte Chemie International Edition. 64(6). e202418074–e202418074. 12 indexed citations

9.

Song, Guobin, Haoyang Wu, Haiqing Chen, et al.. (2024). hdWGCNA and Cellular Communication Identify Active NK CellSubtypes in Alzheimer's Disease and Screen for Diagnostic Markersthrough Machine Learning. Current Alzheimer Research. 21(2). 120–140. 1 indexed citations

10.

Chung, Yunsie, et al.. (2023). Predicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learning. Journal of Chemical Information and Modeling. 63(15). 4574–4588. 18 indexed citations

11.

He, Junyu, Jie Li, Yuanyuan Zhang, et al.. (2023). Tormentic acid, a triterpenoid isolated from the fruits of Chaenomeles speciose , protected indomethacin-induced gastric mucosal lesion via modulating miR-139 and the CXCR4/CXCL12/PLC/PKC/Rho a/MLC pathway. Pharmaceutical Biology. 61(1). 1343–1363. 1 indexed citations

12.

Wu, Haoyang, Peiyuan Lv, Jinyu Wang, et al.. (2023). Genetic screen identified PRMT5 as a neuroprotection target against cerebral ischemia. eLife. 12. 3 indexed citations

13.

Heid, Esther, Kevin P. Greenman, Yunsie Chung, et al.. (2023). Chemprop: A Machine Learning Package for Chemical Property Prediction. Journal of Chemical Information and Modeling. 64(1). 9–17. 250 indexed citations breakdown →

14.

Chung, Yunsie, Florence H. Vermeire, Haoyang Wu, et al.. (2022). Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation Enthalpy. Journal of Chemical Information and Modeling. 62(3). 433–446. 130 indexed citations

15.

Wu, Haoyang, Jie Zhang, Weihao Zeng, et al.. (2022). Immobilization of uranium tailings by phosphoric acid-based geopolymer with optimization of machine learning. Journal of Radioanalytical and Nuclear Chemistry. 331(9). 4047–4054. 5 indexed citations

16.

Dana, Alon Grinberg, Haoyang Wu, Duminda S. Ranasinghe, et al.. (2021). Kinetic Modeling of API Oxidation: (1) The AIBN/H ₂ O/CH ₃ OH Radical “Soup”. Molecular Pharmaceutics. 18(8). 3037–3049. 19 indexed citations

17.

Su, Huake, Shengrui Xu, Ying Zhao, et al.. (2021). Improving the Current Spreading by Fe Doping in n-GaN Layer for GaN-Based Ultraviolet Light-Emitting Diodes. IEEE Electron Device Letters. 42(9). 1346–1349. 22 indexed citations

18.

Guan, Yanfei, Connor W. Coley, Haoyang Wu, et al.. (2020). Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors. Chemical Science. 12(6). 2198–2208. 113 indexed citations

19.

Liu, Jun, et al.. (2019). GPLM: An 802.11ac-Capable Low-MAC Architecture for FPGA-based SDR Systems. 1–7. 1 indexed citations

20.

Wu, Haoyang. (2011). On amending the sufficient conditions for Nash implementation. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2 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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