Jingyue Pang

872 citations
24 papers · 701 indexed · 1 hit paper · h-index 9
Topics
Anomaly Detection Techniques and Applications (15 papers)Fault Detection and Control Systems (13 papers)Time Series Analysis and Forecasting (10 papers)
Partner nations
ChinaUnited States

In The Last Decade

Jingyue Pang

23 papers receiving 689 citations

Hit Papers

Prognostics for state of health estimation of lithium-ion...20132026201720212013100200300

Peers

Jingyue Pang
Comparison fields: 5 of 63
  • Automotive Engineering 433
  • Electrical and Electronic Engineering 338
  • Control and Systems Engineering 261
  • Safety, Risk, Reliability and Quality 206
  • Artificial Intelligence 153
Replace Jing Feng with:
Jing Feng China
Anamitra Pal United States
Xiaohong Wang China
Yonghwan Jeong South Korea
T. Brotherton United States
Junyou Shi China
Allan J. Volponi United States
Mingyi Huo China
Jingyue Pang relative to Jing Feng China Jing Feng's profile →
Citations per field
00.5×4.4×
Jing Feng · 1×
Citations per year

Countries citing papers authored by Jingyue Pang

Since Specialization
Citations

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

Fields of papers citing papers by Jingyue Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyue Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyue Pang. A scholar is included among the top collaborators of Jingyue Pang 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 Jingyue Pang. Jingyue Pang 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
#WorkIndexed citations
1 2
2 6
3 2
4 0
5 20
6 3
7 30
8 1
9 13
10 33
11 5
12 1
13 7
14 5
15 35
16 4
17 3
18 24
19 6
20 6

About Jingyue Pang

Jingyue Pang is a scholar working on Signal Processing, Control and Systems Engineering and Artificial Intelligence, having authored 24 papers that have together received 701 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (15 papers), Fault Detection and Control Systems (13 papers) and Time Series Analysis and Forecasting (10 papers). The work is most often cited by research in Automotive Engineering (433 citations), Safety, Risk, Reliability and Quality (206 citations) and Control and Systems Engineering (261 citations). Jingyue Pang has collaborated with scholars based in China and United States. Frequent co-authors include Datong Liu, Jianbao Zhou, Yu Peng, Michael Pecht, Xiyuan Peng, Peng Yu, Peng Yu, Yuchen Song, Yandong Hou and Wei Xie. Their work appears in journals such as IEEE Access, Sensors and Energies.

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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