Jinling Chi

496 citations
21 papers · 379 indexed · h-index 10

Jinling Chi

20 papers receiving 356 citations

Peers

Jinling Chi
Comparison fields: 5 of 38
  • Mechanical Engineering 309
  • Energy Engineering and Power Technology 14
  • Catalysis 25
  • Statistical and Nonlinear Physics 37
  • Biomedical Engineering 128
Replace Gilbong Lee with:
Gilbong Lee South Korea
Mithilesh Kumar Sahu India
A.D. Akbari Iran
M. Rahmani Iran
Beomjoon Lee South Korea
B. Monje Spain
Zhuojun Xie China
Bhargav Pandya India
Carlo De Servi Netherlands
Eden Mamut Romania
Jinling Chi relative to Gilbong Lee South Korea Gilbong Lee's profile →
Citations per field
00.5×1.5×2.3×
Gilbong Lee · 1×
Citations per year

Countries citing papers authored by Jinling Chi

Since Specialization
Citations

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

Fields of papers citing papers by Jinling Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Jinling Chi, 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 Jinling Chi Line = papers co-authored together Jinling Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20233
4 20232
5 20234
6 20223
7 20201
8 202014
9 201845
10 201755
11 201731
12 20154
13 201518
14 201510
15 201417
16 20143
17 201212
18 20108
19 1982136
20
DEPAF: A Computer Model for Design and Performance Analysis of Furnaces | NIST
19772

About Jinling Chi

Jinling Chi is a scholar working on Mechanical Engineering, Statistical and Nonlinear Physics, Computational Mechanics, Catalysis and Biomedical Engineering, having authored 21 papers that have together received 379 indexed citations. Recurring topics across this work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (10 papers), Refrigeration and Air Conditioning Technologies (8 papers), Carbon Dioxide Capture Technologies (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Turbomachinery Performance and Optimization (3 papers), Advanced Numerical Analysis Techniques (3 papers), Chemical Looping and Thermochemical Processes (3 papers) and Phase Equilibria and Thermodynamics (3 papers). The work is most often cited by research in Mechanical Engineering (309 citations), Energy Engineering and Power Technology (14 citations), Catalysis (25 citations), Statistical and Nonlinear Physics (37 citations) and Biomedical Engineering (128 citations). Jinling Chi has collaborated with scholars based in China and United States. Frequent co-authors include David Didion, Yunhan Xiao, Shijie Zhang, Yongming Zhao, Bo Wang, Lifeng Zhao, Bo Wang, Yujie Xu, Zhen Li and Yuhua Duan. Their work appears in journals such as Applied Thermal Engineering, International Journal of Hydrogen Energy, Journal of Energy Engineering, Measurement and International Journal of Refrigeration.

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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