Ding Wang

1.1k citations
67 papers · 772 indexed · h-index 16

Impact in

Papers in

Ding Wang

63 papers receiving 758 citations

Peers

Ding Wang
Comparison fields: 5 of 127
  • Statistics, Probability and Uncertainty 141
  • Civil and Structural Engineering 318
  • Computational Theory and Mathematics 105
  • Pharmaceutical Science 31
  • Building and Construction 55
Replace Bo Song with:
Bo Song China
Atsushi Fujii Japan
Xinhai Liu China
Shuguang Zhang China
Paul Stephenson United States
Horst Rinne Germany
Feng China
Luis Ángel García-Escudero Spain
Xin An China
Ding Wang relative to Bo Song China Bo Song's profile →
Citations per field
00.5×10×12.8×
Bo Song · 1×
Citations per year

Countries citing papers authored by Ding Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ding Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ding Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ding Wang Line = papers co-authored together Ding Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202362
2 201059
3 201653
4 201952
5 201739
6 202236
7 202234
8 202331
9 201629
10 202128
11 201825
12 201218
13 201917
14 202316
15 202215
16 201715
17 201714
18 202214
19 202113
20 202013

About Ding Wang

Ding Wang is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty, Energy Engineering and Power Technology, Computational Theory and Mathematics and Communication, having authored 67 papers that have together received 772 indexed citations. Recurring topics across this work include Seismic Performance and Analysis (16 papers), Structural Health Monitoring Techniques (14 papers), Probabilistic and Robust Engineering Design (7 papers), Adaptive Dynamic Programming Control (6 papers), Construction Project Management and Performance (4 papers), Geotechnical Engineering and Underground Structures (4 papers), Structural Response to Dynamic Loads (4 papers) and Adaptive Control of Nonlinear Systems (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (141 citations), Civil and Structural Engineering (318 citations), Computational Theory and Mathematics (105 citations), Pharmaceutical Science (31 citations) and Building and Construction (55 citations). Ding Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jun Xu, Jie Li, Chaoxu Mu, Shan Xu, Xinran Wang, Derong Liu, Guofeng Ma, Hong Yuan, Fuqiang Hu and Hongwen Ma. Their work appears in journals such as Buildings, Soil Dynamics and Earthquake Engineering, Mechanical Systems and Signal Processing, Science China Information Sciences and Structures.

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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