Nan Jin

1.6k citations
106 papers · 1.2k indexed · h-index 18

Nan Jin

96 papers receiving 1.2k citations

Peers

Nan Jin
Comparison fields: 5 of 46
  • Control and Systems Engineering 650
  • Energy Engineering and Power Technology 67
  • Electrical and Electronic Engineering 1.1k
  • Automotive Engineering 164
  • Renewable Energy, Sustainability and the Environment 47
Replace Daniel Montesinos‐Miracle with:
Daniel Montesinos‐Miracle Spain
Gilbert Foo Australia
Ying-Yu Tzou Taiwan
José María Maza‐Ortega Spain
Jorma Kyyrä Finland
Amit Kumar Jain India
L.G.B. Rolim Brazil
Luca Corradini Italy
Babak Parkhideh United States
Herbert Hess United States
Nan Jin relative to Daniel Montesinos‐Miracle Spain Daniel Montesinos‐Miracle's profile →
Citations per field
00.5×2.8×
Daniel Montesinos‐Miracle · 1×
Citations per year

Countries citing papers authored by Nan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Nan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20220
3 202233
4 202216
5 20221
6 202164
7 20211
8 202013
9 20207
10 20209
11 20209
12 20206
13 20193
14 201910
15 20183
16 201811
17 201721
18 201754
19 2017107
20 201755

About Nan Jin

Nan Jin is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering and Mechanical Engineering, having authored 106 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (47 papers), Microgrid Control and Optimization (39 papers), Advanced DC-DC Converters (36 papers), Wireless Power Transfer Systems (25 papers), Energy Harvesting in Wireless Networks (23 papers), Advanced Battery Technologies Research (13 papers), Electric Motor Design and Analysis (11 papers) and Sensorless Control of Electric Motors (10 papers). The work is most often cited by research in Control and Systems Engineering (650 citations), Energy Engineering and Power Technology (67 citations), Electrical and Electronic Engineering (1.1k citations), Automotive Engineering (164 citations) and Renewable Energy, Sustainability and the Environment (47 citations). Nan Jin has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Leilei Guo, Chun Gan, Yanyan Li, Houjun Tang, Jie Wu, Qingguo Sun, Yihua Hu, Qunjing Wang, Lie Xu and Xin Liu. Their work appears in journals such as Energies, IEEE Transactions on Industrial Electronics, IEEE Access, IEEE Transactions on Power Electronics and Electronics.

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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