Ming Ding

4.3k total citations · 1 hit paper
157 papers, 2.8k citations indexed

About

Ming Ding is a scholar working on Aerospace Engineering, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Ming Ding has authored 157 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Aerospace Engineering, 43 papers in Materials Chemistry and 35 papers in Mechanical Engineering. Recurrent topics in Ming Ding's work include Nuclear Engineering Thermal-Hydraulics (41 papers), Nuclear reactor physics and engineering (34 papers) and Nuclear Materials and Properties (27 papers). Ming Ding is often cited by papers focused on Nuclear Engineering Thermal-Hydraulics (41 papers), Nuclear reactor physics and engineering (34 papers) and Nuclear Materials and Properties (27 papers). Ming Ding collaborates with scholars based in China, United States and Netherlands. Ming Ding's co-authors include Zhongning Sun, Haozhi Bian, Guangming Fan, Jiezhong Qiu, Zhengxiao Du, Yujie Qian, Zhilin Yang, Jie Tang, Xiao Liu and Hongbin Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Ming Ding

143 papers receiving 2.8k citations

Hit Papers

GLM: General Language Model Pretraining with Autoregressi... 2022 2026 2023 2024 2022 100 200 300 400
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. GLM: General Language Model Pretraining with Autoregressive Blank Infilling
    2022 482 citations Zhengxiao Du, Yujie Qian et al. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Ding China 26 832 735 537 487 430 157 2.8k
Xiaowei Fu China 24 371 0.4× 319 0.4× 627 1.2× 448 0.9× 124 0.3× 142 2.1k
M. Gopal India 35 357 0.4× 1.4k 1.8× 300 0.6× 658 1.4× 890 2.1× 188 4.0k
Feng Lu China 17 1.7k 2.1× 204 0.3× 779 1.5× 251 0.5× 302 0.7× 73 2.6k
Heping Liu China 23 219 0.3× 883 1.2× 824 1.5× 531 1.1× 143 0.3× 153 2.2k
Kishalay Mitra India 31 207 0.2× 943 1.3× 622 1.2× 227 0.5× 198 0.5× 132 2.5k
Min Liu China 27 1.2k 1.5× 878 1.2× 535 1.0× 664 1.4× 251 0.6× 153 2.7k
Liang Pan China 28 285 0.3× 116 0.2× 790 1.5× 302 0.6× 210 0.5× 125 2.8k
Noor A. Ahmed Australia 31 876 1.1× 603 0.8× 216 0.4× 578 1.2× 59 0.1× 124 2.9k
Kanak Kalita India 29 132 0.2× 854 1.2× 536 1.0× 250 0.5× 252 0.6× 164 2.4k
Jonas Jansson Sweden 23 478 0.6× 447 0.6× 752 1.4× 1.7k 3.5× 820 1.9× 61 3.6k

Countries citing papers authored by Ming Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ding. A scholar is included among the top collaborators of Ming Ding 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 Ming Ding. Ming Ding 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.
Bian, Haozhi, et al.. (2025). Numerical analysis and operational performance evaluation of a novel droplet-shaped catalytic element in PARs. International Journal of Hydrogen Energy. 117. 12–23. 1 indexed citations
2.
Guo, Yilong, Qiunan Sun, Ming Ding, Zehua Guo, & Zhongning Sun. (2025). A review on the impacts of dissolved salts in seawater on heat transfer, flow behaviors and fouling. Chemical Engineering Science. 312. 121579–121579.
3.
Lu, Ying, et al.. (2025). LSTM-DQN-APF Path Planning Algorithm Empowered by Twins in Complex Scenarios. Applied Sciences. 15(8). 4565–4565. 2 indexed citations
4.
Wu, Hongbin, et al.. (2024). Multi-timescale hierarchical dispatch strategy of hybrid energy storage for multiple auxiliary service markets. Journal of Energy Storage. 105. 114677–114677. 3 indexed citations
5.
6.
Zhao, Yunhe, et al.. (2024). A review of catalyst material for hydrogen mitigation systems in nuclear facilities. Nuclear Engineering and Design. 428. 113481–113481. 4 indexed citations
7.
Liang, Wenkai, et al.. (2024). Numerical investigation on the hydrogen removal capability of various catalytic elements in PARs. International Journal of Hydrogen Energy. 73. 812–825. 6 indexed citations
8.
Li, Changwei, et al.. (2024). Impact of the extended computational domain at inlet and outlet on natural convection in a vertical rectangular channel. Annals of Nuclear Energy. 201. 110437–110437. 1 indexed citations
9.
Peng, Xiang, et al.. (2024). Numerical simulation study on heat transfer characteristics of steam condensation in the presence of multi-component non-condensable gas outside the tube bundle. International Journal of Thermal Sciences. 201. 109002–109002. 3 indexed citations
10.
11.
Li, Jingjing, et al.. (2023). Numerical evaluation of passive autocatalytic recombiner performance under post-accident conditions. International Journal of Hydrogen Energy. 51. 1079–1095. 9 indexed citations
12.
Xiao, Jiayu, et al.. (2023). Numerical evaluations on enhanced steam–air condensation outside S-type tubes under natural convection conditions. Applied Thermal Engineering. 240. 122230–122230. 1 indexed citations
13.
Du, Zhengxiao, Yujie Qian, Xiao Liu, et al.. (2022). GLM: General Language Model Pretraining with Autoregressive Blank Infilling. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 320–335. 482 indexed citations breakdown →
14.
Yang, Zhuoyi, Ming Ding, Yanhui Guo, Qingsong Lv, & Jie Tang. (2022). Parameter-Efficient Tuning Makes a Good Classification Head. 7576–7586. 2 indexed citations
15.
Li, Wenqiang, et al.. (2017). Block-type high temperature gas cooled reactor reloading pattern optimization using genetic algorithm. High Power Laser and Particle Beams. 29(1). 16002. 6 indexed citations
16.
17.
Ding, Ming. (2013). Experimental Study of Heat Transfer and Pressure Drop Characteristics on Shell-side of Pin-fin Tube Oil Cooler. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 1 indexed citations
18.
Ding, Ming, et al.. (2013). Feasibility neutronic design for the reactor core configurations of a 5 MWth transportable block-type HTR. 《核技术》(英文版). 24(4). 40602–40602. 8 indexed citations
19.
Ding, Ming, et al.. (2009). Submodule Capacitance Parameter and Voltage Balancing Scheme of a New Multilevel VSC Modular. Proceedings of the CSEE. 24 indexed citations
20.
Ding, Ming. (2007). Electromagnetic transient simulation of the dynamic performance of the HVDC Light system. Journal of Hefei University of Technology.

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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