Dan Ding

1.3k total citations · 1 hit paper
41 papers, 909 citations indexed

About

Dan Ding is a scholar working on Civil and Structural Engineering, Computational Mechanics and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Dan Ding has authored 41 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 8 papers in Computational Mechanics and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Dan Ding's work include Advanced Numerical Methods in Computational Mathematics (6 papers), Geotechnical Engineering and Analysis (6 papers) and Geotechnical Engineering and Underground Structures (5 papers). Dan Ding is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (6 papers), Geotechnical Engineering and Analysis (6 papers) and Geotechnical Engineering and Underground Structures (5 papers). Dan Ding collaborates with scholars based in China, United States and United Kingdom. Dan Ding's co-authors include Tao Xie, Xin Peng, Paul F. Pasquina, Rory A. Cooper, Guowen Song, Xiang Zhou, Wenhai Li, Jun Sun, Chao Ji and Philip A. Townsend and has published in prestigious journals such as Scientific Reports, Sensors and International Journal for Numerical Methods in Engineering.

In The Last Decade

Dan Ding

39 papers receiving 859 citations

Hit Papers

Fault Analysis and Debugging of Microservice Systems: Ind... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Ding China 12 393 205 135 123 121 41 909
Claudia Villalonga Spain 12 267 0.7× 87 0.4× 146 1.1× 12 0.1× 189 1.6× 26 1.1k
Shujuan Wang China 16 109 0.3× 74 0.4× 146 1.1× 17 0.1× 255 2.1× 82 877
Hubert B. Keller Germany 17 133 0.3× 31 0.2× 110 0.8× 10 0.1× 237 2.0× 88 1.0k
Anurag Jain India 14 100 0.3× 82 0.4× 74 0.5× 87 0.7× 70 0.6× 86 980
Muhammad Bilal Amin South Korea 11 268 0.7× 157 0.8× 175 1.3× 10 0.1× 163 1.3× 36 937
Ayush Goyal India 13 81 0.2× 78 0.4× 164 1.2× 9 0.1× 50 0.4× 69 794
Harishchandra Dubey United States 17 270 0.7× 177 0.9× 279 2.1× 3 0.0× 110 0.9× 43 851
Muhammad Asif Razzaq South Korea 10 126 0.3× 74 0.4× 132 1.0× 10 0.1× 143 1.2× 24 704
Miao Yu China 17 105 0.3× 24 0.1× 323 2.4× 19 0.2× 114 0.9× 107 1.4k
Ashok Kumar India 17 97 0.2× 24 0.1× 46 0.3× 37 0.3× 458 3.8× 109 830

Countries citing papers authored by Dan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Ding. A scholar is included among the top collaborators of Dan 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 Dan Ding. Dan 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.
Ding, Dan, et al.. (2025). Landslide susceptibility assessment in Tongguan District Anhui China using information value and certainty factor models. Scientific Reports. 15(1). 12275–12275. 4 indexed citations
2.
Ding, Dan, et al.. (2024). A novel probabilistic model with properties: Its implementation to the vocal music and reliability products. Alexandria Engineering Journal. 107. 254–267. 1 indexed citations
3.
Wang, Hui, Xinhua Wang, Shuai Shao, et al.. (2022). Anomaly analysis of 500 kv high voltage reactor based on multi-detection information fusion. IET conference proceedings.. 2021(15). 125–128. 1 indexed citations
4.
Shi, Yang, Wenxiong Jia, Guofeng Zhu, et al.. (2021). Hydrogen and Oxygen Isotope Characteristicsof Water and the Recharge Sources in Subalpineof Qilian Mountains, China. Polish Journal of Environmental Studies. 30(3). 2325–2339. 4 indexed citations
5.
Guo, Xiaofeng, et al.. (2020). Graph-based trace analysis for microservice architecture understanding and problem diagnosis. 1387–1397. 68 indexed citations
6.
Ding, Dan & J. Erik Loehr. (2019). Variability and Bias in Undrained Shear Strength from Different Sampling and Testing Methods. Journal of Geotechnical and Geoenvironmental Engineering. 145(10). 7 indexed citations
7.
Zhou, Xiang, Xin Peng, Tao Xie, et al.. (2018). Delta debugging microservice systems. 802–807. 32 indexed citations
8.
Li, Xi, et al.. (2016). Propogation characteristics of PD‐induced UHF signal in 126 kV GIS with three‐phase construction based on time–frequency analysis. IET Science Measurement & Technology. 10(7). 805–812. 17 indexed citations
9.
Wilkes, Andreas, Hongdan Zhang, Xiaojuan Liu, et al.. (2016). Stable carbon isotope as a signal index for monitoring grassland degradation. Scientific Reports. 6(1). 31399–31399. 6 indexed citations
10.
Ding, Dan. (2014). Reliability of shallow foundations designed using LRFD considering uncertainty from different numbers of strength measurements. MOspace Institutional Repository (University of Missouri). 3 indexed citations
11.
Ding, Dan, William J. Likos, & J. Erik Loehr. (2014). Variability and Uncertainty in Consolidation and Settlement Parameters from Different Sampling and Testing Methods. 361. 338–351. 2 indexed citations
12.
Ding, Dan, et al.. (2011). Sensor technology for smart homes. Maturitas. 69(2). 131–136. 180 indexed citations
13.
Levine, Edward L., Xian Xu, Liu‐Qin Yang, et al.. (2011). Cross-National Explorations of the Impact of Affect at Work Using the State-Trait Emotion Measure: A Coordinated Series of Studies in the United States, China, and Romania. Human Performance. 24(5). 405–442. 31 indexed citations
14.
Ding, Dan, Tian Tang, Guowen Song, & André McDonald. (2011). Characterizing the performance of a single-layer fabric system through a heat and mass transfer model - Part II: Thermal and evaporative resistances. Textile Research Journal. 81(9). 945–958. 26 indexed citations
15.
Ding, Dan. (2010). Characterizing the Performance of a Single-layer Fabric System through a Heat and Mass Transfer Model. University of Alberta Library. 1 indexed citations
16.
Song, Guowen, et al.. (2008). Numerical Simulations of Heat and Moisture Transport in Thermal Protective Clothing Under Flash Fire Conditions. International Journal of Occupational Safety and Ergonomics. 14(1). 89–106. 85 indexed citations
17.
Shi, Zongqian, Yongpeng Meng, Yang Wu, et al.. (2003). On-line condition monitoring system of medium-voltage switchgear. IEEE PES Transmission and Distribution Conference and Exhibition. 3. 2290–2294. 3 indexed citations
18.
Ding, Dan, Philip A. Townsend, & M.F. Webster. (1997). Finite element simulation of an injection moulding process. International Journal of Numerical Methods for Heat & Fluid Flow. 7(7). 751–766. 7 indexed citations
19.
Hassager, Ole, et al.. (1991). The quarterbend: A three-dimensional benchmark problem. Computers & Fluids. 20(4). 373–386. 8 indexed citations
20.
Naylor, D., et al.. (1988). Coupled consolidation analysis of the construction and subsequent performance of monasavu dam. Computers and Geotechnics. 6(2). 95–129. 5 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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