Ping Jiang

85 papers receiving 1.4k citations

Peers

Ping Jiang
Comparison fields: 5 of 127
  • Safety, Risk, Reliability and Quality 311
  • Statistics, Probability and Uncertainty 186
  • Energy Engineering and Power Technology 76
  • Statistics and Probability 198
  • Software 72
Replace Sami El Ferik with:
Sami El Ferik Saudi Arabia
Chunjie Zhou China
Vitaly Levashenko Slovakia
Elena Zaitseva Slovakia
Sanjoy Das United States
S.S. Venkata United States
Kaiquan Cai China
Yuping Hu China
Barry Hayes Ireland
Ping Jiang relative to Sami El Ferik Saudi Arabia Sami El Ferik's profile →
Citations per field
00.5×2×3×4×4.6×
Sami El Ferik · 1×
Citations per year

Countries citing papers authored by Ping Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ping Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping Jiang, 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 Ping Jiang Line = papers co-authored together Ping Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017133
2 201397
3 201886
4 202383
5 200978
6 202357
7 201357
8 202156
9 201654
10 201349
11 202044
12 201839
13 201133
14 202329
15 202229
16 201028
17 202327
18 202427
19 202227
20 202324

About Ping Jiang

Ping Jiang is a scholar working on Artificial Intelligence, Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Statistics, Probability and Uncertainty, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (19 papers), Statistical Distribution Estimation and Applications (10 papers), Software Reliability and Analysis Research (8 papers), Advanced Neural Network Applications (7 papers), Probabilistic and Robust Engineering Design (7 papers), Advanced Computational Techniques and Applications (7 papers), Risk and Safety Analysis (6 papers) and Topic Modeling (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (311 citations), Statistics, Probability and Uncertainty (186 citations), Energy Engineering and Power Technology (76 citations), Statistics and Probability (198 citations) and Software (72 citations). Ping Jiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bo Guo, Xiaoheng Deng, Chenyu Wu, Wei Gu, Zhijun Cheng, Dilin Liu, Shaohua Wan, Leilei Wang, Jinsong Gui and Shuai Lu. Their work appears in journals such as Journal of Central South University, Quality and Reliability Engineering International, IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things Journal and Journal of Systems Architecture.

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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