Cheng Fan

6.7k total citations · 3 hit papers
99 papers, 5.3k citations indexed

About

Cheng Fan is a scholar working on Building and Construction, Electrical and Electronic Engineering and Environmental Engineering. According to data from OpenAlex, Cheng Fan has authored 99 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Building and Construction, 45 papers in Electrical and Electronic Engineering and 19 papers in Environmental Engineering. Recurrent topics in Cheng Fan's work include Building Energy and Comfort Optimization (53 papers), Energy Load and Power Forecasting (35 papers) and Smart Grid Energy Management (12 papers). Cheng Fan is often cited by papers focused on Building Energy and Comfort Optimization (53 papers), Energy Load and Power Forecasting (35 papers) and Smart Grid Energy Management (12 papers). Cheng Fan collaborates with scholars based in China, Hong Kong and United States. Cheng Fan's co-authors include Fu Xiao, Jiayuan Wang, Yang Zhao, Shengwei Wang, Yongjun Sun, Wenjie Gang, Clyde Zhengdao Li, Chengchu Yan, Shenghan Li and Mengjie Song and has published in prestigious journals such as Molecular Cell, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Cheng Fan

93 papers receiving 5.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A short-term building cooling load prediction method using deep learning algorithms

2017 547 citations Cheng Fan, Fu Xiao et al. Applied Energy profile →
Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

2014 454 citations Cheng Fan, Fu Xiao et al. Applied Energy profile →
A Review on Data Preprocessing Techniques Toward Efficient and Reliable Knowledge Discovery From Building Operational Data

2021 241 citations Cheng Fan, Jiayuan Wang et al. profile →

Peers

Countries citing papers authored by Cheng Fan

Since Specialization

Citations

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

Fields of papers citing papers by Cheng Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Fan. A scholar is included among the top collaborators of Cheng Fan 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 Cheng Fan. Cheng Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Multi-modal ensemble deep learning model for microclimate prediction using urban morphological maps 2025 ·Energy ·(unknown), Cheng Fan, (unknown), Xiaowei Luo, Maomao Hu	0
2	Leveraging reinforcement learning for optimal control of chiller plant with complex hydraulic and thermodynamic characteristics 2025 ·Energy and Buildings ·(unknown), (unknown), Cheng Fan, (unknown), Xuyuan Kang, Yang Shi, Da Yan	0
3	Technological and managerial aspects of the digital transformation in music education: A big data perspective 2025 ·Journal of Computational Methods in Sciences and Engineering ·Cheng Fan, Lei Shi	0
4	An unsupervised ensemble learning method for real-time anomaly detections in variable refrigerant flow systems 2025 ·Advanced Engineering Informatics ·(unknown), Cheng Fan, (unknown), (unknown), Zhijie Chen, Chunyuan Zheng	0
5	Building-integrated photovoltaics through multi-physics synergies: A critical review of optical, thermal, and electrical models in facade applications 2025 ·Renewable Energy ·(unknown), Cheng Fan, (unknown), Yumin Li, (unknown)	2
6	Enabling efficient cross-building HVAC fault inferences through novel unsupervised domain adaptation methods 2025 ·Building and Environment ·(unknown), Cheng Fan, (unknown), Yu Xie	1
7	A novel linear programming-based predictive control method for building battery operations with reduced cost and enhanced computational efficiency 2024 ·Renewable Energy ·Cheng Fan, (unknown), Yongjun Sun, (unknown)	5
8	Atrial Fibrillation Types and Chronic Kidney Disease are Independent Predictors of Atrial Fibrillation Recurrence After Radiofrequency Ablation 2024 ·Therapeutics and Clinical Risk Management ·(unknown), Cheng Fan, Jiayuan Chen, (unknown), Wenhua Xiao, (unknown), Xiaozhen Lin, Cheng-Feng Luo, Chongyu Zhang	3
9	Design information-assisted graph neural network for modeling central air conditioning systems 2024 ·Advanced Engineering Informatics ·(unknown), Jing Zhang, Fu Xiao, Cheng Fan, Yantao Yu, Zhe Chen	5
10	Improved convolutional neural network chiller early fault diagnosis by gradient-based feature-level model interpretation and feature learning 2023 ·Applied Thermal Engineering ·Guannan Li, Liang Chen, Cheng Fan, Jiajia Gao, Chengliang Xu, Xi Fang	19
11	Interpretation and explanation of convolutional neural network-based fault diagnosis model at the feature-level for building energy systems 2023 ·Energy and Buildings ·Guannan Li, Liang Chen, Cheng Fan, Tao Li, Chengliang Xu, (unknown)	17
12	Large-scale comparison and demonstration of continual learning for adaptive data-driven building energy prediction 2023 ·Applied Energy ·(unknown), Chong Zhang, Fu Xiao, Cheng Fan, (unknown), Dan Wang	15
13	Data-Driven Prediction Methods for Real-Time Indoor Fire Scenario Inferences 2023 ·Fire ·(unknown), (unknown), Cheng Fan, Haijun Zhou, Yangping Zhao	6
14	One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings 2023 ·Scientific Data ·(unknown), Yan Wang, Jinhan Mo, Cheng Fan	4
15	Novel transformer-based self-supervised learning methods for improved HVAC fault diagnosis performance with limited labeled data 2023 ·Energy ·Cheng Fan, (unknown), Yongjun Sun, (unknown)	32
16	An Edge Based Data-Driven Chiller Sequencing Framework for HVAC Electricity Consumption Reduction in Commercial Buildings 2019 ·IEEE Transactions on Sustainable Computing ·Zimu Zheng, (unknown), Cheng Fan, Nan Guan, Arun Vishwanath, Dan Wang, Fangming Liu	18
17	Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data 2017 ·Applied Energy ·Cheng Fan, Fu Xiao, Yang Zhao, Jiayuan Wang	210
18	An uncertainty-based design optimization method for district cooling systems 2016 ·Energy ·Wenjie Gang, Godfried Augenbroe, Shengwei Wang, Cheng Fan, Fu Xiao	58
19	Temporal knowledge discovery in big BAS data for building energy management 2015 ·Energy and Buildings ·Cheng Fan, Fu Xiao, Henrik Madsen, Dan Wang	116
20	Rare Event Analysis of High Dimensional Building Operational Data Using Data Mining Techniques 2014 ·Purdue e-Pubs (Purdue University System) ·Cheng Fan, Fu Xiao, Shengwei Wang	1

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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