Jun Ni

16.5k citations
353 papers · 12.6k indexed · 3 hit papers · h-index 60

Jun Ni

340 papers receiving 12.1k citations

Hit Papers

A review of 4D printing8442006202620122019250500750

Peers

Jun Ni
Comparison fields: 5 of 163
  • Mechanical Engineering 7.7k
  • Medical Laboratory Technology 295
  • Industrial and Manufacturing Engineering 1.8k
  • Safety, Risk, Reliability and Quality 984
  • Automotive Engineering 1.0k
Replace Xinyu Shao with:
Xinyu Shao China
George Chryssolouris Greece
David He United States
Byeng D. Youn South Korea
Baoping Cai China
Jianbo Yu China
Noureddine Zerhouni France
Steven Y. Liang United States
Dazhong Wu United States
Linkan Bian United States
Jun Ni relative to Xinyu Shao China Xinyu Shao's profile →
Citations per field
00.5×4.8×
Xinyu Shao · 1×
Citations per year

Countries citing papers authored by Jun Ni

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20251
5 20250
6 20247
7 202316
8 20232
9 20233
10 202311
11 202335
12 202212
13 20157
14 20134
15 20121
16 200844
17 20081
18 200725
19 20061
20
Correlation tracking algorithm for series images on sky object
20061

About Jun Ni

Jun Ni is a scholar working on Medical Laboratory Technology, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 353 papers that have together received 12.6k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (77 papers), Advanced Surface Polishing Techniques (58 papers), Advanced Measurement and Metrology Techniques (45 papers), Fault Detection and Control Systems (34 papers), Reliability and Maintenance Optimization (32 papers), Advanced Machining and Optimization Techniques (29 papers), Metal Forming Simulation Techniques (26 papers) and Advanced Welding Techniques Analysis (25 papers). The work is most often cited by research in Mechanical Engineering (7.7k citations), Medical Laboratory Technology (295 citations) and Industrial and Manufacturing Engineering (1.8k citations). Jun Ni has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Xun Liu, Xinmin Lai, Dragan Djurdjanović, Shuhuai Lan, Farhang Momeni, Linfa Peng, Jay Lee, Jingxia Yuan, Xiaoning Jin and Albert J. Shih. Their work appears in journals such as Journal of Manufacturing Science and Engineering, International Journal of Machine Tools and Manufacture, The International Journal of Advanced Manufacturing Technology, Journal of Materials Processing Technology and Journal of Manufacturing 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026