Hongxia Hao

1.6k total citations · 2 hit papers
38 papers, 904 citations indexed

About

Hongxia Hao is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Hongxia Hao has authored 38 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atomic and Molecular Physics, and Optics, 10 papers in Materials Chemistry and 8 papers in Molecular Biology. Recurrent topics in Hongxia Hao's work include Spectroscopy and Quantum Chemical Studies (7 papers), Machine Learning in Materials Science (7 papers) and Advanced Chemical Physics Studies (5 papers). Hongxia Hao is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (7 papers), Machine Learning in Materials Science (7 papers) and Advanced Chemical Physics Studies (5 papers). Hongxia Hao collaborates with scholars based in China, United States and Germany. Hongxia Hao's co-authors include Teresa Head‐Gordon, Itai Leven, Joseph P. Heindel, Akshaya Kumar Das, Xingyi Guan, Fang Liu, Meili Liu, Licheng Jiao, Christopher J. Stein and Oufan Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Hongxia Hao

36 papers receiving 881 citations

Hit Papers

Can electric fields drive... 2022 2026 2023 2024 2022 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongxia Hao China 15 266 210 145 139 132 38 904
Suman Chakrabarty India 25 306 1.2× 268 1.3× 592 4.1× 112 0.8× 86 0.7× 82 1.5k
Andreas Singraber Austria 8 579 2.2× 255 1.2× 92 0.6× 91 0.7× 87 0.7× 10 800
Liang Shi United States 21 193 0.7× 560 2.7× 157 1.1× 183 1.3× 166 1.3× 64 1.2k
Abraham C. Stern United States 17 487 1.8× 379 1.8× 249 1.7× 116 0.8× 51 0.4× 24 1.4k
István Lengyel United States 22 218 0.8× 236 1.1× 307 2.1× 336 2.4× 74 0.6× 72 2.0k
F. Uhlig Germany 23 247 0.9× 614 2.9× 130 0.9× 101 0.7× 264 2.0× 49 1.5k
Sapna Sarupria United States 22 437 1.6× 358 1.7× 268 1.8× 226 1.6× 86 0.7× 49 1.4k
Daniela Polino Italy 15 298 1.1× 198 0.9× 67 0.5× 82 0.6× 56 0.4× 21 673
Richard A. Messerly United States 15 515 1.9× 152 0.7× 121 0.8× 338 2.4× 97 0.7× 41 969

Countries citing papers authored by Hongxia Hao

Since Specialization
Citations

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

Fields of papers citing papers by Hongxia Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongxia Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongxia Hao. A scholar is included among the top collaborators of Hongxia Hao 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 Hongxia Hao. Hongxia Hao 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.
Zheng, Shuxin, Yu Shi, Ziheng Lu, et al.. (2024). Predicting equilibrium distributions for molecular systems with deep learning. Nature Machine Intelligence. 6(5). 558–567. 59 indexed citations breakdown →
2.
Hao, Hongxia, et al.. (2024). Benchmarking inverse optimization algorithms for materials design. APL Materials. 12(2). 4 indexed citations
3.
Aldossary, Abdulrahman, Martí Gimferrer, Yuezhi Mao, et al.. (2023). Force Decomposition Analysis: A Method to Decompose Intermolecular Forces into Physically Relevant Component Contributions. The Journal of Physical Chemistry A. 127(7). 1760–1774. 7 indexed citations
4.
Hao, Hongxia, et al.. (2023). Highly Altered State of Proton Transport in Acid Pools in Charged Reverse Micelles. Journal of the American Chemical Society. 145(3). 1826–1834. 5 indexed citations
5.
Hao, Hongxia, Luis Ruiz Pestana, Jin Qian, et al.. (2022). Chemical transformations and transport phenomena at interfaces. Wiley Interdisciplinary Reviews Computational Molecular Science. 13(2). 13 indexed citations
6.
Hao, Hongxia, Itai Leven, & Teresa Head‐Gordon. (2022). Can electric fields drive chemistry for an aqueous microdroplet?. Nature Communications. 13(1). 280–280. 264 indexed citations breakdown →
7.
Guan, Xingyi, Akshaya Kumar Das, Christopher J. Stein, et al.. (2022). A benchmark dataset for Hydrogen Combustion. Scientific Data. 9(1). 215–215. 18 indexed citations
8.
Haghighatlari, Mojtaba, Jie Li, Xingyi Guan, et al.. (2022). NewtonNet: a Newtonian message passing network for deep learning of interatomic potentials and forces. Digital Discovery. 1(3). 333–343. 93 indexed citations
9.
Adams, Ellen M., et al.. (2021). Proton Traffic Jam: Effect of Nanoconfinement and Acid Concentration on Proton Hopping Mechanism. Angewandte Chemie. 133(48). 25623–25631. 5 indexed citations
10.
Leven, Itai, Hongxia Hao, Akshaya Kumar Das, & Teresa Head‐Gordon. (2020). A Reactive Force Field with Coarse-Grained Electrons for Liquid Water. The Journal of Physical Chemistry Letters. 11(21). 9240–9247. 23 indexed citations
11.
Hao, Hongxia, James Shee, Shiv Upadhyay, et al.. (2018). Accurate Predictions of Electron Binding Energies of Dipole-Bound Anions via Quantum Monte Carlo Methods. The Journal of Physical Chemistry Letters. 9(21). 6185–6190. 20 indexed citations
12.
Wang, Liang, Yan Zhang, Yan Zhang, et al.. (2016). Effects of chronic sleep deprivation on glucose homeostasis in rats. Sleep and Biological Rhythms. 14(4). 321–328. 14 indexed citations
13.
Wang, Liang, Yan Zhang, Hongxia Hao, et al.. (2016). A model of health education and management for osteoporosis prevention. Experimental and Therapeutic Medicine. 12(6). 3797–3805. 14 indexed citations
14.
Zhou, Hong, et al.. (2016). Detection of Three Common Organic Explosives Using Capillary Electrophoresis. Journal of Materials Science and Chemical Engineering. 4(6). 17–25. 6 indexed citations
15.
Lin, Jin‐Guan, et al.. (2015). Two-step estimation of the volatility functions in diffusion models with empirical applications. Journal of Empirical Finance. 33. 135–159. 4 indexed citations
16.
Zhang, Xiaoqin, Hongxia Hao, & Jiye Liang. (2014). A New Nonparametric Estimation Method of the Variance in Heteroscedastic Model. Hacettepe Journal of Mathematics and Statistics. 43(1). 1–1. 5 indexed citations
17.
Shi, Cheng, Fang Liu, Ling-Ling Li, & Hongxia Hao. (2014). Pan-sharpening algorithm to remove thin cloud via mask dodging and nonsampled shift-invariant shearlet transform. Journal of Applied Remote Sensing. 8(1). 83658–83658. 6 indexed citations
18.
Li, Qiang, Hongxia Hao, Hong Zhou, et al.. (2012). Rapid and on-site analysis of illegal drugs on the nano–microscale using a deep ultraviolet-visible reflected optical fiber sensor. The Analyst. 137(7). 1596–1596. 23 indexed citations
19.
Li, Qiang, Hong Zhou, Hongxia Hao, et al.. (2012). Rapid, on-site identification of explosives in nanoliter droplets using a UV reflected fiber optic sensor. Analytica Chimica Acta. 751. 112–118. 17 indexed citations
20.
Liu, Fang, et al.. (2009). Discrete differential evolution algorithm for the job shop scheduling problem. 879–882. 8 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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