Ningde Jin

200 papers receiving 3.7k citations

Peers

Ningde Jin
Comparison fields: 5 of 124
  • Statistical and Nonlinear Physics 732
  • Mechanics of Materials 960
  • Biomedical Engineering 1.6k
  • Signal Processing 420
  • Economics and Econometrics 854
Replace Igor Grabec with:
Igor Grabec Slovenia
C. Stuart Daw United States
Lefteri H. Tsoukalas United States
Chris Bishop United Kingdom
Cornelius T. Leondes United States
Michael Feldman Israel
Hanping Hu China
Martin F. Møller Denmark
Jihun Park South Korea
Agnieszka Wyłomańska Poland
Ningde Jin relative to Igor Grabec Slovenia Igor Grabec's profile →
Citations per field
00.5×10×
Igor Grabec · 1×
Citations per year

Countries citing papers authored by Ningde Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ningde Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014170
2 2009160
3 2009149
4 2011125
5 2015115
6 201298
7 201297
8 201691
9 200884
10 201383
11 201665
12 201363
13 200363
14 200960
15 201251
16 201450
17 202450
18 201149
19 201247
20 200847

About Ningde Jin

Ningde Jin is a scholar working on Biomedical Engineering, Mechanics of Materials, Economics and Econometrics, Statistical and Nonlinear Physics and Mechanical Engineering, having authored 209 papers that have together received 3.8k indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (112 papers), Flow Measurement and Analysis (62 papers), Complex Systems and Time Series Analysis (52 papers), Water Systems and Optimization (30 papers), Nonlinear Dynamics and Pattern Formation (28 papers), Time Series Analysis and Forecasting (27 papers), Chaos control and synchronization (25 papers) and Heat Transfer and Boiling Studies (20 papers). The work is most often cited by research in Statistical and Nonlinear Physics (732 citations), Mechanics of Materials (960 citations), Biomedical Engineering (1.6k citations), Signal Processing (420 citations) and Economics and Econometrics (854 citations). Ningde Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhongke Gao, Lusheng Zhai, Yingyu Ren, Weikai Ren, Pengcheng Fang, Zhenya Wang, Yuxuan Yang, Hongxin Zhang, Dayang Wang and Meng Du. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, Chemical Engineering Science, Experimental Thermal and Fluid Science and Physica A Statistical Mechanics and its Applications.

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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