Haisheng Ren

1.3k total citations
60 papers, 1.0k citations indexed

About

Haisheng Ren is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Haisheng Ren has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Materials Chemistry, 13 papers in Molecular Biology and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Haisheng Ren's work include Spectroscopy and Quantum Chemical Studies (8 papers), Advanced Combustion Engine Technologies (8 papers) and Advanced Chemical Physics Studies (7 papers). Haisheng Ren is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (8 papers), Advanced Combustion Engine Technologies (8 papers) and Advanced Chemical Physics Studies (7 papers). Haisheng Ren collaborates with scholars based in China, United States and Singapore. Haisheng Ren's co-authors include Jiali Gao, Peng Bao, Jie Shen, Huaqiang Zeng, John Z. H. Zhang, Liqun Cao, Chih‐Hao Chin, Tong Zhu, Jinzhe Zeng and Quan Zhu and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Physical Chemistry C.

In The Last Decade

Haisheng Ren

58 papers receiving 997 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haisheng Ren China 18 339 202 196 174 168 60 1.0k
Francis Vocanson France 24 468 1.4× 202 1.0× 127 0.6× 144 0.8× 213 1.3× 92 1.3k
Seifollah Jalili Iran 17 564 1.7× 162 0.8× 159 0.8× 57 0.3× 202 1.2× 90 989
Wenhui Fang China 16 265 0.8× 261 1.3× 117 0.6× 115 0.7× 47 0.3× 87 836
Hirofumi Kawazumi Japan 17 276 0.8× 262 1.3× 146 0.7× 250 1.4× 97 0.6× 84 1.0k
Joshua T. Damron United States 17 518 1.5× 156 0.8× 63 0.3× 133 0.8× 176 1.0× 51 955
Kenneth P. J. Williams United Kingdom 22 329 1.0× 163 0.8× 108 0.6× 105 0.6× 145 0.9× 56 1.2k
Qingchun Zhao China 15 487 1.4× 190 0.9× 169 0.9× 196 1.1× 78 0.5× 31 886
Roberto López-Rendón Mexico 11 430 1.3× 195 1.0× 171 0.9× 60 0.3× 121 0.7× 20 882
Guofan Jin China 15 346 1.0× 107 0.5× 129 0.7× 88 0.5× 156 0.9× 89 1.1k
Fei Zhu China 18 408 1.2× 124 0.6× 214 1.1× 156 0.9× 147 0.9× 70 1.1k

Countries citing papers authored by Haisheng Ren

Since Specialization
Citations

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

Fields of papers citing papers by Haisheng Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haisheng Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Haisheng Ren. A scholar is included among the top collaborators of Haisheng Ren 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 Haisheng Ren. Haisheng Ren 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.
Cheng, Long, et al.. (2025). Molecular dynamics simulations coupled with machine learning for investigating thermophysical properties of binary surrogate aviation kerosene. Journal of Molecular Liquids. 424. 127170–127170. 2 indexed citations
2.
Wang, Shiyu, et al.. (2025). CBH-BDC Enhanced Δ-ML for Predicting the Accurate Standard Enthalpy of Formation. The Journal of Physical Chemistry A. 129(26). 5901–5910. 1 indexed citations
3.
Cheng, Long, et al.. (2025). Predicting Fuel Properties through Sequential Forward Selection (SFS) Enhance Ensemble Machine Learning with Topological Index Selection. Industrial & Engineering Chemistry Research. 64(9). 4669–4684. 2 indexed citations
4.
Chen, Wenlan, et al.. (2024). Importance of Spin Channels from Radical–Radical Reactions in Hydrogen–Oxygen Combustion Mechanisms at High Temperatures. The Journal of Physical Chemistry A. 128(26). 5188–5201. 1 indexed citations
5.
Ren, Haisheng, et al.. (2024). Characterization and localization of fatigue damage in nickel-based superalloys using nonlinear ultrasonic harmonic method. International Journal of Fatigue. 193. 108785–108785. 1 indexed citations
6.
Xu, Huajie, et al.. (2024). High-Throughput Predictions of Accurate Enthalpies of Formation for Larger Molecules Utilizing the Bond Difference Correction Method. The Journal of Physical Chemistry Letters. 15(4). 998–1005. 4 indexed citations
7.
Chen, Wenlan, et al.. (2023). Importance of resonance-stabilized radicals in soot formation mechanism of diphenyl ether pyrolysis. Journal of Analytical and Applied Pyrolysis. 175. 106196–106196. 4 indexed citations
8.
Liu, Lu, Wenlan Chen, Quan Zhu, & Haisheng Ren. (2023). Inhibitory mechanisms of ammonia addition on soot formation during n‑decane pyrolysis. Fuel. 350. 128695–128695. 19 indexed citations
9.
Shang, Qi, et al.. (2022). Biomimetic synthesis of L-DOPA inspired by tyrosine hydroxylase. Journal of Inorganic Biochemistry. 234. 111878–111878. 17 indexed citations
10.
Xu, Huajie, Zihan Xu, Lu Liu, et al.. (2022). Method and automatic program for accurate thermodynamic data of reaction mechanisms for combustion modeling. Fuel. 329. 125431–125431. 5 indexed citations
12.
Yang, Biao, et al.. (2020). First-principles study of the adsorption behaviors of Li atoms and LiF on the CFx (x = 1.0, 0.9, 0.8, 0.5, ∼0.0) surface. RSC Advances. 10(53). 31881–31888. 21 indexed citations
13.
Li, Xiankun, Haisheng Ren, Zheyun Liu, et al.. (2020). A leap in quantum efficiency through light harvesting in photoreceptor UVR8. Nature Communications. 11(1). 4316–4316. 22 indexed citations
14.
Zeng, Jinzhe, Liqun Cao, Chih‐Hao Chin, et al.. (2019). ReacNetGenerator: an automatic reaction network generator for reactive molecular dynamics simulations. Physical Chemistry Chemical Physics. 22(2). 683–691. 146 indexed citations
15.
Chang, Jing, Ruifang Wang, Jie Mou, et al.. (2019). Absorption Spectra of Acetylene, Vinylidene, and Their Deuterated Isotopologues on Ab Initio Potential Energy and Dipole Moment Surfaces. The Journal of Physical Chemistry A. 123(19). 4232–4240. 8 indexed citations
16.
Mou, Jie, Yuyue Gao, J. Wang, Jianyi Ma, & Haisheng Ren. (2019). Hydrogen evolution reaction activity related to the facet-dependent electrocatalytic performance of NiCoP from first principles. RSC Advances. 9(21). 11755–11761. 40 indexed citations
17.
Zeng, Fei, Fang Liu, Lin Yuan, et al.. (2019). A Pore-Forming Tripeptide as an Extraordinarily Active Anion Channel. Organic Letters. 21(12). 4826–4830. 30 indexed citations
18.
Ma, Dandan, Haisheng Ren, & Jianyi Ma. (2018). Full-dimensional quantum mechanics calculations for the spectroscopic characterization of the isomerization transition states of HOCO/DOCO systems. Physical Chemistry Chemical Physics. 20(7). 4732–4738. 3 indexed citations
19.
Ren, Changliang, Fei Zeng, Jie Shen, et al.. (2018). Pore-Forming Monopeptides as Exceptionally Active Anion Channels. Journal of the American Chemical Society. 140(28). 8817–8826. 70 indexed citations
20.
Ren, Lin, Fan Zhang, Fancheng Meng, & Haisheng Ren. (2015). Template-free Hydrothermal Synthesis of Hierarchical Structure CaWO 4 Microsphere and its Fluorescence Property. Current Nanoscience. 11(4). 424–427. 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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