Jing Feng

816 citations
71 papers · 591 · h-index 14

Impact in

Papers in

Jing Feng

60 papers receiving 579 citations

Peers

Jing Feng
Comparison fields: 5 of 73
  • Safety, Risk, Reliability and Quality 182
  • Statistics and Probability 80
  • Statistics, Probability and Uncertainty 61
  • Automotive Engineering 99
  • Software 31
Replace Xiaohong Wang with:
Xiaohong Wang China
Xiaosong Guo China
Lei Feng China
H.M. Hashemian United States
Qingwei Chen China
Jingyue Pang China
T. Brotherton United States
Inseok Park South Korea
Bo Jing China
Jing Feng relative to Xiaohong Wang China Xiaohong Wang's profile →
Citations per field
00.5×
Xiaohong Wang · 1×
Citations per year

Countries citing papers authored by Jing Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jing Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201252
2 201652
3 201237
4 202132
5 201632
6 202030
7 201929
8 201825
9 201021
10 201319
11 201616
12 201616
13 202016
14 202115
15 201813
16 201413
17 201811
18 201611
19 202111
20 202110

About Jing Feng

Jing Feng is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Safety, Risk, Reliability and Quality, Aerospace Engineering and Artificial Intelligence, having authored 71 papers that have together received 591 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (18 papers), Energy Harvesting in Wireless Networks (9 papers), Statistical Distribution Estimation and Applications (8 papers), Advanced Battery Technologies Research (6 papers), Satellite Communication Systems (6 papers), Software Reliability and Analysis Research (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Mobile Agent-Based Network Management (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (182 citations), Statistics and Probability (80 citations), Statistics, Probability and Uncertainty (61 citations), Automotive Engineering (99 citations) and Software (31 citations). Jing Feng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Quan Sun, Tongdan Jin, Zhengqiang Pan, Paul H. Kvam, Bin Xue, Tianyu Liu, Zhikang Xu, Byunghoo Jung, Dimitrios Peroulis and Yung-Hsiang Lu. Their work appears in journals such as Engineering Failure Analysis, Quality and Reliability Engineering International, IEEE Access, Sensors and International Journal of Intelligent Systems.

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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