Hua Han

1.4k total citations
34 papers, 1.1k citations indexed

About

Hua Han is a scholar working on Building and Construction, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Hua Han has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Building and Construction, 11 papers in Control and Systems Engineering and 11 papers in Industrial and Manufacturing Engineering. Recurrent topics in Hua Han's work include Building Energy and Comfort Optimization (12 papers), Industrial Vision Systems and Defect Detection (11 papers) and Advanced Chemical Sensor Technologies (7 papers). Hua Han is often cited by papers focused on Building Energy and Comfort Optimization (12 papers), Industrial Vision Systems and Defect Detection (11 papers) and Advanced Chemical Sensor Technologies (7 papers). Hua Han collaborates with scholars based in China, United States and United Kingdom. Hua Han's co-authors include Yuqiang Fan, Bo Gu, Xiaoyu Cui, Xiaoyu Cui, Bin Gu, Jia Kang, Hailong Lu, Hong Qing, Neng Ren and Tianle Wang and has published in prestigious journals such as Energy, Energy and Buildings and Applied Thermal Engineering.

In The Last Decade

Hua Han

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Han China 19 517 461 259 252 209 34 1.1k
Yunpeng Hu China 24 741 1.4× 497 1.1× 426 1.6× 331 1.3× 185 0.9× 57 1.5k
Michael R. Brambley United States 13 802 1.6× 573 1.2× 190 0.7× 263 1.0× 124 0.6× 43 1.3k
Ronghua Du China 19 398 0.8× 458 1.0× 234 0.9× 176 0.7× 149 0.7× 53 1.3k
Wenju Hu China 20 491 0.9× 208 0.5× 624 2.4× 157 0.6× 89 0.4× 38 1.1k
Martin Kozek Austria 22 703 1.4× 837 1.8× 499 1.9× 597 2.4× 75 0.4× 161 1.9k
John M. House United States 17 649 1.3× 675 1.5× 395 1.5× 224 0.9× 131 0.6× 56 1.5k
Yuqiang Fan China 10 186 0.4× 214 0.5× 106 0.4× 104 0.4× 110 0.5× 17 533
Mario Vašak Croatia 20 189 0.4× 769 1.7× 342 1.3× 681 2.7× 147 0.7× 118 1.4k
Óscar Duque-Pérez Spain 23 244 0.5× 1.1k 2.4× 631 2.4× 754 3.0× 175 0.8× 103 2.0k
Mirco Rampazzo Italy 15 359 0.7× 278 0.6× 366 1.4× 204 0.8× 113 0.5× 73 935

Countries citing papers authored by Hua Han

Since Specialization
Citations

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

Fields of papers citing papers by Hua Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Han. A scholar is included among the top collaborators of Hua Han 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 Hua Han. Hua Han 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
1.
Zheng, Yue, et al.. (2025). Improvements and intelligence integration of virtual refrigerant charge (VRC) sensor. International Journal of Refrigeration. 182. 456–468.
2.
Han, Hua, et al.. (2025). Variable-condition fault diagnosis for building chiller based on deep feature extraction and discrepancy minimization. Energy. 330. 136832–136832. 1 indexed citations
3.
Zhang, Yonghong, et al.. (2025). Multiscale Feature Enhancement for Water Body Segmentation in High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 25781–25793.
5.
Han, Hua, et al.. (2023). Novel data-pulling-based strategy for chiller fault diagnosis in data-scarce scenarios. Energy. 279. 128019–128019. 8 indexed citations
6.
Gao, Yu, et al.. (2022). Knowledge mining for chiller faults based on explanation of data-driven diagnosis. Applied Thermal Engineering. 205. 118032–118032. 29 indexed citations
7.
Gao, Yu, et al.. (2021). Comprehensive study on sensitive parameters for chiller fault diagnosis. Energy and Buildings. 251. 111318–111318. 32 indexed citations
8.
Lu, Hailong, et al.. (2021). A feature importance ranking based fault diagnosis method for variable-speed screw chiller. Science and Technology for the Built Environment. 28(2). 137–151. 4 indexed citations
9.
Lu, Hailong, et al.. (2021). An inverse fault detection and diagnosis (IFDD) strategy for practical application on chiller product. International Journal of Refrigeration. 134. 24–34. 2 indexed citations
10.
Han, Hua, et al.. (2020). Ensemble learning with member optimization for fault diagnosis of a building energy system. Energy and Buildings. 226. 110351–110351. 61 indexed citations
11.
Han, Hua, Ling Xu, Xiaoyu Cui, & Yuqiang Fan. (2020). Novel chiller fault diagnosis using deep neural network (DNN) with simulated annealing (SA). International Journal of Refrigeration. 121. 269–278. 46 indexed citations
12.
Fan, Yuqiang, Xiaoyu Cui, Hua Han, & Hailong Lu. (2020). Chiller fault detection and diagnosis by knowledge transfer based on adaptive imbalanced processing. Science and Technology for the Built Environment. 26(8). 1082–1099. 25 indexed citations
13.
Han, Hua, et al.. (2020). Application of PSO-LSSVM and hybrid programming to fault diagnosis of refrigeration systems. Science and Technology for the Built Environment. 27(5). 592–607. 6 indexed citations
14.
Han, Hua, Xiaoyu Cui, Yuqiang Fan, & Hong Qing. (2019). Least squares support vector machine (LS-SVM)-based chiller fault diagnosis using fault indicative features. Applied Thermal Engineering. 154. 540–547. 151 indexed citations
15.
Liang, Qingqing, Hua Han, Xiaoyu Cui, Hong Qing, & Yuqiang Fan. (2017). Comparative study of probabilistic neural network and back propagation network for fault diagnosis of refrigeration systems. Science and Technology for the Built Environment. 24(4). 448–457. 32 indexed citations
16.
Han, Hua, et al.. (2010). A novel optimization strategy for the design of air curtains for open vertical refrigerated display cases. Applied Thermal Engineering. 31(16). 3098–3105. 21 indexed citations
17.
Han, Hua, et al.. (2010). Important sensors for chiller fault detection and diagnosis (FDD) from the perspective of feature selection and machine learning. International Journal of Refrigeration. 34(2). 586–599. 113 indexed citations
18.
Han, Hua, et al.. (2009). Modeling of variable speed refrigerated display cabinets based on adaptive support vector machine. Mechanical Systems and Signal Processing. 24(1). 78–89. 10 indexed citations
19.
Ren, Neng, Jun Liang, Bo Gu, & Hua Han. (2007). Fault diagnosis strategy for incompletely described samples and its application to refrigeration system. Mechanical Systems and Signal Processing. 22(2). 436–450. 23 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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