Feifeng Jiang

2.0k total citations
37 papers, 1.4k citations indexed

About

Feifeng Jiang is a scholar working on Building and Construction, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Feifeng Jiang has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Building and Construction, 17 papers in Environmental Engineering and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Feifeng Jiang's work include Air Quality Monitoring and Forecasting (10 papers), Air Quality and Health Impacts (8 papers) and Traffic Prediction and Management Techniques (7 papers). Feifeng Jiang is often cited by papers focused on Air Quality Monitoring and Forecasting (10 papers), Air Quality and Health Impacts (8 papers) and Traffic Prediction and Management Techniques (7 papers). Feifeng Jiang collaborates with scholars based in Hong Kong, China and Singapore. Feifeng Jiang's co-authors include Jack C.P. Cheng, Jun Ma, Jun Ma, Yuexiong Ding, Vincent J.L. Gan, Zhiwei Wan, Weiwei Chen, Mingzhu Wang, Chris Webster and Richard K.K. Yuen and has published in prestigious journals such as Water Research, Journal of Cleaner Production and IEEE Access.

In The Last Decade

Feifeng Jiang

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feifeng Jiang Hong Kong 20 558 394 303 245 211 37 1.4k
Yuexiong Ding Hong Kong 11 576 1.0× 168 0.4× 382 1.3× 148 0.6× 218 1.0× 23 1.1k
Yi Tan China 28 613 1.1× 919 2.3× 185 0.6× 127 0.5× 110 0.5× 77 2.6k
M. R. Delavar Iran 23 305 0.5× 188 0.5× 116 0.4× 388 1.6× 87 0.4× 130 1.5k
Tianhe Chi China 17 1.1k 1.9× 181 0.5× 739 2.4× 292 1.2× 344 1.6× 91 1.9k
Ling Peng China 17 1.1k 1.9× 156 0.4× 710 2.3× 216 0.9× 344 1.6× 48 1.8k
Ahmad Shukri Yahaya Malaysia 18 410 0.7× 101 0.3× 362 1.2× 165 0.7× 101 0.5× 51 1.1k
Hong-di He China 28 1.1k 1.9× 359 0.9× 1.1k 3.8× 264 1.1× 812 3.8× 122 2.4k
Harri Niska Finland 14 447 0.8× 204 0.5× 255 0.8× 117 0.5× 187 0.9× 38 1.5k

Countries citing papers authored by Feifeng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Feifeng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifeng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Feifeng Jiang. A scholar is included among the top collaborators of Feifeng Jiang 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 Feifeng Jiang. Feifeng Jiang 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.
Jiang, Feifeng, et al.. (2025). A hybrid framework for regional land valuation using generative intelligence and AutoML techniques. Landscape and Urban Planning. 259. 105365–105365. 1 indexed citations
3.
Jiang, Feifeng & Jun Ma. (2025). Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows. Smart Cities. 8(2). 58–58. 3 indexed citations
5.
Ma, Jun, et al.. (2025). MLGA-GNN: Assessing horizontal and vertical heterogeneity in the photovoltaic potential of urban-scale building facades. Energy and Buildings. 347. 116255–116255. 1 indexed citations
6.
Ma, Jun, et al.. (2025). Enhancing urban solar irradiation prediction with shadow-attention graph neural networks: Implications for net-zero energy buildings in New York City. Sustainable Cities and Society. 120. 106133–106133. 5 indexed citations
7.
Jiang, Feifeng, Jun Ma, Chris Webster, Wei Wang, & Jack C.P. Cheng. (2024). Automated site planning using CAIN-GAN model. Automation in Construction. 159. 105286–105286. 20 indexed citations
9.
Jiang, Feifeng, et al.. (2024). Estimating and explaining regional land value distribution using attention-enhanced deep generative models. Computers in Industry. 159-160. 104103–104103. 6 indexed citations
11.
12.
Ma, Jun, et al.. (2024). Exploring the effects of 2D/3D building factors on urban energy consumption using explainable machine learning. Journal of Building Engineering. 97. 110827–110827. 10 indexed citations
13.
Jiang, Feifeng, Jun Ma, Chris Webster, Xiao Li, & Vincent J.L. Gan. (2023). Building layout generation using site-embedded GAN model. Automation in Construction. 151. 104888–104888. 63 indexed citations
14.
Qi, Long, et al.. (2023). Demand analysis in urban air mobility: A literature review. Journal of Air Transport Management. 112. 102436–102436. 48 indexed citations
15.
Jiang, Feifeng, Jun Ma, Chris Webster, et al.. (2023). Generative urban design: A systematic review on problem formulation, design generation, and decision-making. Progress in Planning. 180. 100795–100795. 68 indexed citations
16.
Jiang, Feifeng, et al.. (2021). Pedestrian volume prediction with high spatiotemporal granularity in urban areas by the enhanced learning model. Sustainable Cities and Society. 79. 103653–103653. 19 indexed citations
17.
Jiang, Feifeng & Jun Ma. (2021). A comprehensive study of macro factors related to traffic fatality rates by XGBoost-based model and GIS techniques. Accident Analysis & Prevention. 163. 106431–106431. 27 indexed citations
18.
Jiang, Feifeng, Richard K.K. Yuen, & Eric Wai Ming Lee. (2020). Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology. Journal of Safety Research. 75. 292–309. 44 indexed citations
19.
Jiang, Feifeng, Richard K.K. Yuen, & Eric Wai Ming Lee. (2020). A long short-term memory-based framework for crash detection on freeways with traffic data of different temporal resolutions. Accident Analysis & Prevention. 141. 105520–105520. 58 indexed citations
20.
Ma, Jun, et al.. (2019). Soft detection of 5-day BOD with sparse matrix in city harbor water using deep learning techniques. Water Research. 170. 115350–115350. 77 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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