Kun Yao

5.2k total citations · 4 hit papers
68 papers, 2.8k citations indexed

About

Kun Yao is a scholar working on Materials Chemistry, Polymers and Plastics and Electrical and Electronic Engineering. According to data from OpenAlex, Kun Yao has authored 68 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 18 papers in Polymers and Plastics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Kun Yao's work include Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (9 papers) and Polymer Nanocomposites and Properties (9 papers). Kun Yao is often cited by papers focused on Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (9 papers) and Polymer Nanocomposites and Properties (9 papers). Kun Yao collaborates with scholars based in China, United States and Poland. Kun Yao's co-authors include John Parkhill, John E. Herr, Tao Tang, Jiang Gong, Xin Wen, Karl Leswing, Steven V. Jerome, Matthew P. Repasky, Zhiwei Jiang and Nana Tian and has published in prestigious journals such as The Journal of Chemical Physics, Nano Letters and ACS Nano.

In The Last Decade

Kun Yao

65 papers receiving 2.7k citations

Hit Papers

The TensorMol-0.1 model chemistry: a neural network augme... 2018 2026 2020 2023 2018 2021 2023 2023 100 200 300
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.

  1. The TensorMol-0.1 model chemistry: a neural network augmented with long-range physics
    2018 362 citations Kun Yao, John E. Herr et al. profile →
  2. Efficient Exploration of Chemical Space with Docking and Deep Learning
    2021 228 citations Kun Yao, Matthew P. Repasky et al. Journal of Chemical Theory and Computation profile →
  3. Epik: p K a and Protonation State Prediction through Machine Learning
    2023 130 citations Ryne C. Johnston, Kun Yao et al. Journal of Chemical Theory and Computation profile →
  4. Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment
    2023 107 citations Kun Yao et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Yao China 26 1.4k 506 491 391 384 68 2.8k
Tu C. Le Australia 27 1.3k 0.9× 406 0.8× 934 1.9× 401 1.0× 423 1.1× 83 3.8k
Rohit Batra United States 28 3.2k 2.3× 793 1.6× 468 1.0× 1.3k 3.2× 504 1.3× 54 4.6k
M. Mukherjee India 27 884 0.6× 177 0.3× 180 0.4× 690 1.8× 427 1.1× 139 2.5k
Loı̈c M. Roch Switzerland 19 1.3k 0.9× 385 0.8× 184 0.4× 490 1.3× 482 1.3× 36 2.2k
Yu‐Ting Lin Taiwan 26 1.1k 0.8× 1.1k 2.2× 1.1k 2.2× 1.4k 3.6× 328 0.9× 105 4.0k
Sungwon Kim South Korea 21 1.0k 0.7× 110 0.2× 637 1.3× 352 0.9× 777 2.0× 56 2.9k
Lin Shen China 22 659 0.5× 145 0.3× 329 0.7× 824 2.1× 234 0.6× 112 2.0k
Attila Farkas Hungary 36 1.1k 0.8× 101 0.2× 428 0.9× 487 1.2× 809 2.1× 153 3.7k
Xin Yang China 24 773 0.6× 384 0.8× 362 0.7× 1.0k 2.6× 466 1.2× 103 2.4k

Countries citing papers authored by Kun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Yao. A scholar is included among the top collaborators of Kun Yao 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 Kun Yao. Kun Yao 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.
2.
Zhang, Gan, et al.. (2025). Multi-robot Collaborative 3D Path Planning Based On Game Theory and Particle Swarm Optimization Hybrid Method. The Journal of Supercomputing. 81(3). 2 indexed citations
3.
Gamage, Sampath, Sukriti Manna, Steven Hancock, et al.. (2024). Infrared Nanoimaging of Hydrogenated Perovskite Nickelate Memristive Devices. ACS Nano. 18(3). 2105–2116. 9 indexed citations
4.
5.
6.
Chen, Jianneng, et al.. (2024). Synthesis of a single-degree-of-freedom noncircular pulley-five-bar finger rehabilitation mechanism considering force transfer performance. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 239(1). 55–70. 1 indexed citations
7.
Johnston, Ryne C., Kun Yao, Karl Leswing, et al.. (2023). Epik: p K a and Protonation State Prediction through Machine Learning. Journal of Chemical Theory and Computation. 19(8). 2380–2388. 130 indexed citations breakdown →
8.
Zhang, Xinhao, Liping Jiang, Sen Wei, et al.. (2021). Resveratrol protected acrolein-induced ferroptosis and insulin secretion dysfunction via ER-stress- related PERK pathway in MIN6 cells. Toxicology. 465. 153048–153048. 88 indexed citations
9.
Huang, Yingping, Kun Yao, Chuncheng Chen, et al.. (2021). Suppressing toxic intermediates during photocatalytic degradation of glyphosate by controlling adsorption modes. Applied Catalysis B: Environmental. 299. 120671–120671. 39 indexed citations
10.
Chen, Xi, Yanshuang Zhang, Xiangyun Kong, et al.. (2021). Photocatalytic Performance of the MOF-Coating Layer on SPR-Excited Ag Nanowires. ACS Omega. 6(4). 2882–2889. 19 indexed citations
11.
Kananenka, Alexei A., Kun Yao, Steven A. Corcelli, & J. L. Skinner. (2019). Machine Learning for Vibrational Spectroscopic Maps. Journal of Chemical Theory and Computation. 15(12). 6850–6858. 55 indexed citations
12.
Herr, John E., et al.. (2018). Metadynamics for training neural network model chemistries: A competitive assessment. The Journal of Chemical Physics. 148(24). 241710–241710. 52 indexed citations
13.
Herr, John E., Kevin J. Koh, Kun Yao, & John Parkhill. (2018). Compressing physical properties of atomic species for improving predictive chemistry. arXiv (Cornell University). 19 indexed citations
14.
He, Leye, Ning Wang, Jianye Liu, et al.. (2018). Pretreatment serum albumin/globulin ratio as a prognostic biomarker in metastatic prostate cancer patients treated with maximal androgen blockade. Asian Journal of Andrology. 21(1). 56–56. 17 indexed citations
15.
Yao, Kun, John E. Herr, Seth N. Brown, & John Parkhill. (2017). Intrinsic Bond Energies from a Bonds-in-Molecules Neural Network. The Journal of Physical Chemistry Letters. 8(12). 2689–2694. 102 indexed citations
16.
Liu, Jianye, Yingbo Dai, Fangjian Zhou, et al.. (2016). The prognostic role of preoperative serum albumin/globulin ratio in patients with bladder urothelial carcinoma undergoing radical cystectomy. Urologic Oncology Seminars and Original Investigations. 34(11). 484.e1–484.e8. 69 indexed citations
17.
Geng, Zhi‐Yuan, et al.. (2007). Quantum chemical study on the abstraction reaction of alkylidenegermylene with oxirane and thiirane. Science in China Series B Chemistry. 50(3). 335–344. 2 indexed citations
18.
Yao, Kun, et al.. (2007). Insertion of singlet alkylidenecarbenes into O–H bond of water: A theoretical prediction. Journal of Molecular Structure THEOCHEM. 821(1-3). 106–115. 3 indexed citations
19.
Yao, Kun, Xuelei Liang, Qing Chen, & Lian‐Mao Peng. (2006). Field Effect and Photoelectronic Property of Nanodevices Made from Single Bi2S3 Nanowire. 1509–1512. 3 indexed citations
20.
Yao, Kun, et al.. (1991). Optimal control of molecular motion: Nonlinear field effects. Chemical Physics. 150(3). 373–381. 14 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tu C. Le Breakdown of academic impact, for papers by Rohit Batra Breakdown of academic impact, for papers by M. Mukherjee Breakdown of academic impact, for papers by Loı̈c M. Roch Breakdown of academic impact, for papers by Yu‐Ting Lin Breakdown of academic impact, for papers by Sungwon Kim Breakdown of academic impact, for papers by Lin Shen Breakdown of academic impact, for papers by Attila Farkas Breakdown of academic impact, for papers by Xin Yang
Rankless by CCL
2026