Jie Hong

467 citations
22 papers · 284 indexed · h-index 7

Jie Hong

19 papers receiving 268 citations

Peers

Jie Hong
Comparison fields: 5 of 61
  • Automotive Engineering 115
  • Computer Vision and Pattern Recognition 50
  • Artificial Intelligence 74
  • Electrical and Electronic Engineering 121
  • Industrial and Manufacturing Engineering 18
Replace Yizhuo Zhang with:
Yizhuo Zhang China
Jianbin Xue China
S. Venkatasubramanian India
Omer Ali Malaysia
Made Adi Paramartha Putra South Korea
Jae-Sub Ko South Korea
Raju Anitha India
Sudipta Saha India
Jie Hong relative to Yizhuo Zhang China Yizhuo Zhang's profile →
Citations per field
00.5×3.9×
Yizhuo Zhang · 1×
Citations per year

Countries citing papers authored by Jie Hong

Since Specialization
Citations

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

Fields of papers citing papers by Jie Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20256
4 20241
5 202316
6 20237
7 202239
8 202211
9 20211
10 202059
11 202070
12 20192
13 20144
14 20141
15 20141
16
Application of JACK on evaluation of a split seat chair
20132
17 20136
18
Gait analysis and identification
20122
19
Research on Application of Improved BP Algorithms in Price Prediction for Highway Engineering Main Material
20082
20
Design of Life Usage Monitoring System of Aeroengine Critical Part
20000

About Jie Hong

Jie Hong is a scholar working on Human-Computer Interaction, Safety, Risk, Reliability and Quality, Instrumentation, Management of Technology and Innovation and Automotive Engineering, having authored 22 papers that have together received 284 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (3 papers), Electric Vehicles and Infrastructure (2 papers), Human Pose and Action Recognition (2 papers), Advancements in Battery Materials (2 papers), Advanced Sensor and Control Systems (2 papers), Collaboration in agile enterprises (2 papers), Welding Techniques and Residual Stresses (2 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Automotive Engineering (115 citations), Computer Vision and Pattern Recognition (50 citations), Artificial Intelligence (74 citations), Electrical and Electronic Engineering (121 citations) and Industrial and Manufacturing Engineering (18 citations). Jie Hong has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Zhicheng Xu, Peter D. Lund, Jun Wang, Q. Fan, Vetle I. Torvik, Neil R. Smalheiser, Wei Zhou, Clement Yu, Lars Petersson and Ting Dong. Their work appears in journals such as Journal of Energy Storage, IET Information Security, Photodiagnosis and Photodynamic Therapy, The International Journal of Advanced Manufacturing Technology and Engineering Applications of Artificial Intelligence.

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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