Sheng Hong

1.8k citations
44 papers · 1.3k indexed · 1 hit paper · h-index 20
Topics
Machine Fault Diagnosis Techniques (9 papers)Fault Detection and Control Systems (8 papers)Complex Network Analysis Techniques (8 papers)
Partner nations
ChinaUnited StatesItaly

In The Last Decade

Sheng Hong

38 papers receiving 1.3k citations

Hit Papers

Remaining Useful Life Prediction for Lithium-Ion Battery:...20182026202020232018100200300

Peers

Sheng Hong
Comparison fields: 5 of 88
  • Control and Systems Engineering 545
  • Electrical and Electronic Engineering 407
  • Automotive Engineering 363
  • Safety, Risk, Reliability and Quality 302
  • Mechanical Engineering 219
Replace Chetan S. Kulkarni with:
Chetan S. Kulkarni United States
Huajing Fang China
Ying Zheng China
Wanqing Song China
Johannes Köhler Germany
Mei Yuan China
Germano Lambert‐Torres Brazil
Shibin Gao China
Jie Hou China
Takashi Hiyama Japan
Sheng Hong relative to Chetan S. Kulkarni United States Chetan S. Kulkarni's profile →
Citations per field
00.5×1.5×1.8×
Chetan S. Kulkarni · 1×
Citations per year

Countries citing papers authored by Sheng Hong

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Hong. A scholar is included among the top collaborators of Sheng Hong 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 Sheng Hong. Sheng Hong 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 0
2 0
3 0
4 1
5 5
6 45
7
Bearing remaining life prediction using Gaussian process regression with composite kernel functions
32
8 2
9 21
10 39
11 31
12 30
13 9
14 191
15 23
16
Application of Gaussian Process Regression for bearing degradation assessment
23
17 7
18 3
19 0
20 11

About Sheng Hong

Sheng Hong is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (8 papers) and Complex Network Analysis Techniques (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (302 citations), Automotive Engineering (363 citations) and Control and Systems Engineering (545 citations). Sheng Hong has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zheng Zhou, Enrico Zio, Kan Hong, Lin Zhang, Tingdi Zhao, Lei Ren, Hao Wang, Shiqiang Zhao, Zhao Li and Baoqing Wang. Their work appears in journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Microwave Theory and Techniques.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026