Qiang Ji

521 total citations
25 papers, 368 citations indexed

About

Qiang Ji is a scholar working on Mechanical Engineering, Building and Construction and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Qiang Ji has authored 25 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 7 papers in Building and Construction and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Qiang Ji's work include Refrigeration and Air Conditioning Technologies (11 papers), Adsorption and Cooling Systems (10 papers) and Building Energy and Comfort Optimization (6 papers). Qiang Ji is often cited by papers focused on Refrigeration and Air Conditioning Technologies (11 papers), Adsorption and Cooling Systems (10 papers) and Building Energy and Comfort Optimization (6 papers). Qiang Ji collaborates with scholars based in China, Hong Kong and United States. Qiang Ji's co-authors include Zongwei Han, Xiuming Li, Xiaoqing Sun, Haotian Wei, Bowen Cao, Xueping Zhang, Yonggao Yin, Guoying Xu, Lingyan Yang and Hongzhi Zhang and has published in prestigious journals such as Applied Energy, International Journal of Heat and Mass Transfer and Energy Conversion and Management.

In The Last Decade

Qiang Ji

23 papers receiving 360 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qiang Ji China 11 252 96 56 37 30 25 368
José Ângelo Peixoto da Costa Brazil 12 221 0.9× 113 1.2× 31 0.6× 22 0.6× 57 1.9× 46 340
S. Spoelstra Netherlands 10 443 1.8× 51 0.5× 32 0.6× 43 1.2× 56 1.9× 23 587
E.A. Vineyard United States 10 357 1.4× 57 0.6× 97 1.7× 12 0.3× 37 1.2× 35 484
D.H. Archer United States 10 198 0.8× 158 1.6× 51 0.9× 35 0.9× 35 1.2× 36 333
Charles F. Kutscher United States 10 169 0.7× 199 2.1× 28 0.5× 12 0.3× 17 0.6× 14 286
Jesús Cerezo Mexico 13 486 1.9× 169 1.8× 32 0.6× 72 1.9× 56 1.9× 36 598
Giuseppe Diglio Italy 13 327 1.3× 164 1.7× 56 1.0× 16 0.4× 230 7.7× 16 497
Moein Shamoushaki Italy 11 265 1.1× 150 1.6× 22 0.4× 7 0.2× 70 2.3× 22 418
Aris-Dimitrios Leontaritis Greece 4 303 1.2× 67 0.7× 21 0.4× 13 0.4× 31 1.0× 6 361
Soudabeh Golzari Iran 5 205 0.8× 170 1.8× 28 0.5× 35 0.9× 35 1.2× 7 351

Countries citing papers authored by Qiang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Ji. A scholar is included among the top collaborators of Qiang Ji 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 Qiang Ji. Qiang Ji 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
2.
Ji, Qiang, et al.. (2025). Thermal gradient optimization in independent cascade heat pumps for efficient ultra-high temperature heating. Applied Energy. 384. 125502–125502. 2 indexed citations
3.
Ji, Qiang, et al.. (2024). Optimizing working fluids for advancing industrial heating performance of compression-absorption cascade heat pump. Applied Energy. 376. 124281–124281. 5 indexed citations
4.
Wang, Yikai, et al.. (2024). Performance investigation and energy-saving potential of a heat pump-driven liquid desiccant dehumidification system in different climatic conditions. Energy Conversion and Management. 325. 119330–119330. 3 indexed citations
5.
Ji, Qiang, et al.. (2024). An advanced cascade method for optimal industrial heating performance in hybrid heat pump. Energy Conversion and Management. 303. 118187–118187. 8 indexed citations
6.
Ji, Qiang, Yonggao Yin, Bowen Cao, & Mu Wang. (2023). Comparative study of the cascade absorption heat pump running optimal ternary ionic liquid working pair. Energy Conversion and Management. 299. 117704–117704. 10 indexed citations
7.
Cheng, Xiaosong, et al.. (2023). Experimental and simulation study on an air conditioning system cascade driven by waste heat using multicomponent solution. Building and Environment. 247. 111021–111021. 6 indexed citations
8.
Yin, Yonggao, et al.. (2023). Sepiolite based humidity-control coating specially for alleviate the condensation problem of radiant cooling panel. Energy. 272. 127129–127129. 10 indexed citations
10.
Cao, Bowen, Yonggao Yin, Guoying Xu, et al.. (2023). Experimental and modeling study of bubble absorption-based deep dehumidification using the ionic liquid: Parametric analysis on heat and mass transfer. Energy Conversion and Management. 290. 117169–117169. 14 indexed citations
11.
Ji, Qiang, et al.. (2023). Cooling performance of compression-absorption cascade system with novel ternary ionic-liquid working pair. Energy. 278. 128018–128018. 10 indexed citations
12.
Cao, Bowen, Yonggao Yin, Guoying Xu, et al.. (2023). A proposed method of bubble absorption-based deep dehumidification using the ionic liquid for low-humidity industrial environments with experimental performance. Applied Energy. 348. 121534–121534. 15 indexed citations
13.
Cao, Bowen, et al.. (2022). Liquid desiccant-based deep dehumidifier working with a novel ionic liquid: Prediction model and performance comparison. International Journal of Refrigeration. 146. 74–87. 13 indexed citations
14.
Ji, Qiang, Ronald D. Ripple, Dayong Zhang, & Yuqian Zhao. (2022). Cryptocurrency Bubble on the Systemic Risk in Global Energy Companies. The Energy Journal. 43(1_suppl). 1–24. 10 indexed citations
15.
Zhao, Xingwang, et al.. (2022). Experimental investigation on condensation characteristics of a novel radiant terminal based on sepiolite composite humidity-conditioning coating. Building and Environment. 223. 109488–109488. 9 indexed citations
16.
Han, Zongwei, et al.. (2021). Study on the influence factors of short-time thermal response test based on artificial neural network. Geothermics. 95. 102171–102171. 6 indexed citations
17.
Han, Zongwei, et al.. (2021). Study on operation strategy of evaporative cooling composite air conditioning system in data center. Renewable Energy. 177. 1147–1160. 40 indexed citations
18.
Zhang, Xueping, Zongwei Han, Qiang Ji, Hongzhi Zhang, & Xiuming Li. (2020). Thermal response tests for the identification of soil thermal parameters: A review. Renewable Energy. 173. 1123–1135. 35 indexed citations
19.
Han, Zongwei, Qiang Ji, Haotian Wei, et al.. (2020). Simulation study on performance of data center air-conditioning system with novel evaporative condenser. Energy. 210. 118521–118521. 29 indexed citations
20.
Zhang, Xueping, Zongwei Han, Gui Li, et al.. (2020). Study on high-precision identification method of ground thermal properties based on neural network model. Renewable Energy. 163. 1838–1848. 8 indexed citations

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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