Bing Long

1.5k citations
62 papers · 1.2k · h-index 18

Impact in

Papers in

Bing Long

55 papers receiving 1.2k citations

Peers

Bing Long
Comparison fields: 5 of 48
  • Hardware and Architecture 449
  • Automotive Engineering 338
  • Safety, Risk, Reliability and Quality 145
  • Control and Systems Engineering 339
  • Artificial Intelligence 90
Replace Kenneth Butts with:
Kenneth Butts United States
Junyou Shi China
Jaewook Shin South Korea
Mihai Victor Micea Romania
Junsoo Kim South Korea
Chulhoon Jang South Korea
Bassam Alrifaee Germany
Lahoucine Idkhajine France
Hongsheng Lu United States
Bing Long relative to Kenneth Butts United States Kenneth Butts's profile →
Citations per field
00.5×2×4×5.9×
Kenneth Butts · 1×
Citations per year

Countries citing papers authored by Bing Long

Since Specialization
Citations

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

Fields of papers citing papers by Bing Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013208
2 2012156
3 2013124
4 201484
5 201064
6 201349
7 201247
8 200845
9 202243
10 201035
11 201034
12 201934
13 200826
14 202125
15 201124
16 201223
17 201021
18 201421
19 201318
20 202017

About Bing Long

Bing Long is a scholar working on Hardware and Architecture, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Automotive Engineering and Artificial Intelligence, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (33 papers), Engineering and Test Systems (12 papers), Reliability and Maintenance Optimization (8 papers), Advanced Battery Technologies Research (6 papers), Machine Fault Diagnosis Techniques (5 papers), Fault Detection and Control Systems (4 papers), Image and Signal Denoising Methods (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Hardware and Architecture (449 citations), Automotive Engineering (338 citations), Safety, Risk, Reliability and Quality (145 citations), Control and Systems Engineering (339 citations) and Artificial Intelligence (90 citations). Bing Long has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Houjun Wang, Shulin Tian, Zhen Liu, Michael Gerard Pecht, Min Li, Arvind Sai Sarathi Vasan, Chenglin Yang, Lin Jiang, Jianguo Huang and Fang Chen. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Microelectronics Reliability, Electronics, International Journal of Advancements in Computing Technology and Reliability Engineering & System Safety.

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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