Hanyu Gao

2.5k total citations · 1 hit paper
56 papers, 1.7k citations indexed

About

Hanyu Gao is a scholar working on Materials Chemistry, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Hanyu Gao has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Materials Chemistry, 14 papers in Biomedical Engineering and 13 papers in Mechanical Engineering. Recurrent topics in Hanyu Gao's work include Machine Learning in Materials Science (21 papers), Computational Drug Discovery Methods (9 papers) and Advanced Polymer Synthesis and Characterization (8 papers). Hanyu Gao is often cited by papers focused on Machine Learning in Materials Science (21 papers), Computational Drug Discovery Methods (9 papers) and Advanced Polymer Synthesis and Characterization (8 papers). Hanyu Gao collaborates with scholars based in China, Hong Kong and United States. Hanyu Gao's co-authors include Connor W. Coley, Klavs F. Jensen, William H. Green, Thomas J. Struble, Yuran Wang, Pieter Plehiers, Justin A. M. Lummiss, C. Breen, Robert W. Hicklin and A. John Hart and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Hanyu Gao

48 papers receiving 1.7k 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.

A robotic platform for flow synthesis of organic compounds informed by AI planning

2019 730 citations Connor W. Coley, Justin A. M. Lummiss et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanyu Gao China	16	907	511	446	328	227	56	1.7k
Pieter Plehiers Belgium	9	517 0.6×	398 0.8×	281 0.6×	210 0.6×	96 0.4×	10	1.1k
Jason M. Stevens United States	17	523 0.6×	360 0.7×	267 0.6×	315 1.0×	453 2.0×	26	1.4k
Travis Hart United States	8	519 0.6×	478 0.9×	270 0.6×	211 0.6×	114 0.5×	10	1.0k
AkshatKumar Nigam Canada	11	817 0.9×	148 0.3×	598 1.3×	384 1.2×	116 0.5×	14	1.4k
Jesus I. Martinez Alvarado United States	11	499 0.6×	247 0.5×	252 0.6×	183 0.6×	709 3.1×	13	1.5k
Adam D. Clayton United Kingdom	15	379 0.4×	651 1.3×	161 0.4×	172 0.5×	213 0.9×	29	1.1k
Florence H. Vermeire Belgium	17	574 0.6×	348 0.7×	434 1.0×	188 0.6×	108 0.5×	49	1.3k
Justin A. M. Lummiss Canada	19	486 0.5×	411 0.8×	232 0.5×	563 1.7×	1.0k 4.6×	19	1.9k
Zhonglin Cao United States	19	798 0.9×	656 1.3×	346 0.8×	401 1.2×	86 0.4×	32	1.7k
Marcio Schwaab Brazil	22	477 0.5×	447 0.9×	90 0.2×	161 0.5×	164 0.7×	54	1.7k

Countries citing papers authored by Hanyu Gao

Since Specialization

Citations

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

Fields of papers citing papers by Hanyu Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanyu Gao

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

Wei, Ying, et al.. (2025). Deep Learning-Assisted Discovery of Protein Entangling Motifs. Biomacromolecules. 26(3). 1520–1529.

Su, Shiwei, et al.. (2025). Soft objects grasping evaluation using a novel VCFN-YOLOv8 framework. SHILAP Revista de lepidopterología. 5(3). 100232–100232.

Zhou, Xin, et al.. (2025). Application Research on Contour Feature Extraction of Solidified Region Image in Laser Powder Bed Fusion Based on SA-TransUNet. Applied Sciences. 15(5). 2602–2602. 2 indexed citations

Wan, Hao, Yue Fang, Min Hu, et al.. (2025). Interpretable Machine‐Learning and Big Data Mining to Predict the CO₂ Separation in Polymer‐MOF Mixed Matrix Membranes. Advanced Science. 12(16). e2405905–e2405905. 10 indexed citations

Zhang, Ting, et al.. (2025). Mechanism of double exposure strategy for improving down-skin roughness and dimensional accuracy in support-free printing. Materials & Design. 254. 113990–113990. 2 indexed citations

Gao, Hanyu, et al.. (2025). Physics-Informed Neural Network for Solving Hydrodynamic LubricationCharacteristics of Piston Pump Slipper Pair. 106–116.

Zhu, Sitao, et al.. (2024). Highly selective adsorption of Au(III) and Au(I) by a porphyrin metal organic framework material. Colloids and Surfaces A Physicochemical and Engineering Aspects. 705. 135549–135549. 5 indexed citations

Huang, Yong, et al.. (2024). MolNexTR: a generalized deep learning model for molecular image recognition. Journal of Cheminformatics. 16(1). 141–141. 6 indexed citations

Xu, Ning, Yi-Xin Chen, Jian Zhang, et al.. (2024). An automatic end-to-end chemical synthesis development platform powered by large language models. Nature Communications. 15(1). 10160–10160. 36 indexed citations

10.

Fang, Yue, et al.. (2023). Effect of SiO2 nano-interphase on the water absorption mechanism of natural fiber reinforced composites: A multi-scale study. Applied Surface Science. 637. 157942–157942. 12 indexed citations

11.

Cai, Chengzhi, Lifeng Li, Xiaoshan Huang, et al.. (2023). High-throughput computational screening and molecular fingerprint design of metal-organic framework adsorbents for separation of C3 components. Giant. 17. 100223–100223. 5 indexed citations

12.

Huang, Qiuhong, Lifeng Li, Yaling Yan, et al.. (2023). Machine learning and molecular fingerprint screening of high-performance 2D/3D MOF membranes for Kr/Xe separation. Chemical Engineering Science. 280. 119031–119031. 14 indexed citations

13.

Guo, Jiang, et al.. (2021). Automated Chemical Reaction Extraction from Scientific Literature. Journal of Chemical Information and Modeling. 62(9). 2035–2045. 64 indexed citations

14.

Wang, Xiaoxue, Yujie Qian, Hanyu Gao, et al.. (2020). Towards efficient discovery of green synthetic pathways with Monte Carlo tree search and reinforcement learning. Chemical Science. 11(40). 10959–10972. 48 indexed citations

15.

Gao, Hanyu, Connor W. Coley, Thomas J. Struble, et al.. (2020). Combining retrosynthesis and mixed-integer optimization for minimizing the chemical inventory needed to realize a WHO essential medicines list. Reaction Chemistry & Engineering. 5(2). 367–376. 13 indexed citations

16.

Coley, Connor W., Justin A. M. Lummiss, Jonathan N. Jaworski, et al.. (2019). A robotic platform for flow synthesis of organic compounds informed by AI planning. Science. 365(6453). 730 indexed citations breakdown →

17.

Gao, Hanyu, Thomas J. Struble, Connor W. Coley, et al.. (2018). Using Machine Learning To Predict Suitable Conditions for Organic Reactions. ACS Central Science. 4(11). 1465–1476. 291 indexed citations

18.

Gao, Hanyu, Linda J. Broadbelt, Ivan A. Konstantinov, & Steven G. Arturo. (2017). Acceleration of kinetic monte carlo simulations of free radical copolymerization: A hybrid approach with scaling. AIChE Journal. 63(9). 4013–4021. 21 indexed citations

19.

Gao, Hanyu, et al.. (2017). Application and comparison of derivative-free optimization algorithms to control and optimize free radical polymerization simulated using the kinetic Monte Carlo method. Computers & Chemical Engineering. 108. 268–275. 17 indexed citations

20.

Leperi, Karson T., Hanyu Gao, Randall Q. Snurr, & Fengqi You. (2014). Modeling and optimization of a two-stage MOF-based pressure/vacuum swing adsorption process coupled with material selection. SHILAP Revista de lepidopterología. 1 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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