Xiaoning Jin

2.4k citations
69 papers · 1.8k · h-index 24

Impact in

Papers in

Xiaoning Jin

65 papers receiving 1.7k citations

Peers

Xiaoning Jin
Comparison fields: 5 of 127
  • Medical Laboratory Technology 109
  • Safety, Risk, Reliability and Quality 443
  • Industrial and Manufacturing Engineering 414
  • Automotive Engineering 276
  • Software 81
Replace Qing Chang with:
Qing Chang United States
Diego Galar Sweden
Makarand S. Kulkarni India
Uday Kumar Sweden
Éric Levrat France
Benoît Iung France
Jorge Arinez United States
Peter Sandborn United States
Wim J.C. Verhagen Netherlands
Nima Safaei Iran
Xiaoning Jin relative to Qing Chang United States Qing Chang's profile →
Citations per field
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Qing Chang · 1×
Citations per year

Countries citing papers authored by Xiaoning Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014255
2 2018139
3 2019109
4 2014102
5 201579
6 202175
7 201266
8 201262
9 200960
10 201156
11 201251
12 202249
13 202148
14 201643
15 201542
16 201541
17 202035
18 201334
19 201834
20 202233

About Xiaoning Jin

Xiaoning Jin is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Strategy and Management and Management Information Systems, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (13 papers), Manufacturing Process and Optimization (11 papers), Fault Detection and Control Systems (10 papers), Sustainable Supply Chain Management (9 papers), Flexible and Reconfigurable Manufacturing Systems (7 papers), Machine Fault Diagnosis Techniques (6 papers), Industrial Vision Systems and Defect Detection (5 papers) and Scheduling and Optimization Algorithms (4 papers). The work is most often cited by research in Medical Laboratory Technology (109 citations), Safety, Risk, Reliability and Quality (443 citations), Industrial and Manufacturing Engineering (414 citations), Automotive Engineering (276 citations) and Software (81 citations). Xiaoning Jin has collaborated with scholars based in United States, China and Iran. Frequent co-authors include Jun Ni, Xi Gu, Changhong Wang, Jun Ni, Yoram Koren, Guijuan Zhang, Yang Liu, Sagar Kamarthi, Lifeng Xi and Tangbin Xia. Their work appears in journals such as Journal of Manufacturing Systems, CIRP Annals, Journal of Manufacturing Science and Engineering, IEEE Transactions on Automation Science and Engineering and Journal of Intelligent Manufacturing.

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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