Kangji Li

2.1k citations
62 papers · 1.8k indexed · h-index 20
Topics
Building Energy and Comfort Optimization (30 papers)Energy Load and Power Forecasting (19 papers)Greenhouse Technology and Climate Control (7 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Kangji Li

56 papers receiving 1.7k citations

Peers

Kangji Li
Comparison fields: 5 of 108
  • Electrical and Electronic Engineering 710
  • Building and Construction 666
  • Artificial Intelligence 545
  • Renewable Energy, Sustainability and the Environment 451
  • Environmental Engineering 327
Replace Yongbao Chen with:
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Junqi Yu China
Nursyarizal Mohd Nor Malaysia
Mahdi Khodayar United States
John E. Seem United States
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Chaobo Zhang China
Ján Drgoňa United States
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Kangji Li relative to Yongbao Chen China Yongbao Chen's profile →
Citations per field
00.5×10×15×20×22.5×
Yongbao Chen · 1×
Citations per year

Countries citing papers authored by Kangji Li

Since Specialization
Citations

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

Fields of papers citing papers by Kangji Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangji Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kangji Li. A scholar is included among the top collaborators of Kangji Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kangji Li. Kangji Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 2
6 0
7 2
8 0
9 8
10 10
11 6
12 1
13 35
14 10
15 373
16 28
17 102
18 203
19
A CFD-based test method for control of indoor environment in air-conditioned rooms
0
20
Nonlinear model reduction for simulation and control of temperature distribution in air conditioned rooms
3

About Kangji Li

Kangji Li is a scholar working on Building and Construction, Civil and Structural Engineering and Statistical and Nonlinear Physics, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (30 papers), Energy Load and Power Forecasting (19 papers) and Greenhouse Technology and Climate Control (7 papers). The work is most often cited by research in Building and Construction (666 citations), Renewable Energy, Sustainability and the Environment (451 citations) and Environmental Engineering (327 citations). Kangji Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wenping Xue, Xu Chen, Hongye Su, Bin Xu, Congli Mei, Yuhan Ding, Guohai Liu, Jian Chu, Chao Xu and Huaglory Tianfield. Their work appears in journals such as Applied Energy, Energy and Buildings and RSC Advances.

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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