Pingfan Hu

718 total citations · 1 hit paper
20 papers, 548 citations indexed

About

Pingfan Hu is a scholar working on Materials Chemistry, Environmental Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Pingfan Hu has authored 20 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 4 papers in Environmental Engineering and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Pingfan Hu's work include Risk and Safety Analysis (4 papers), Wind and Air Flow Studies (3 papers) and Building Energy and Comfort Optimization (2 papers). Pingfan Hu is often cited by papers focused on Risk and Safety Analysis (4 papers), Wind and Air Flow Studies (3 papers) and Building Energy and Comfort Optimization (2 papers). Pingfan Hu collaborates with scholars based in United States, China and Greece. Pingfan Hu's co-authors include Qingsheng Wang, Zeren Jiao, Hongfei Xu, Huimin Zhao, Sunhwa Park, Yifan Liu, Chao Wang, Hengqian Ren, Huijin Xu and Yuxuan Wang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Cleaner Production and ACS Catalysis.

In The Last Decade

Pingfan Hu

19 papers receiving 527 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.

Deep Learning in Multimodal Fusion for Sustainable Plant Care: A Comprehensive Review

2025 14 citations Yusi Li, Pingfan Hu et al. Sustainability profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pingfan Hu United States	14	123	88	78	77	62	20	548
Wenyi Zhang China	21	265 2.2×	128 1.5×	41 0.5×	43 0.6×	91 1.5×	51	1.2k
Diego Martinez Prata Brazil	16	80 0.7×	47 0.5×	38 0.5×	40 0.5×	59 1.0×	45	803
Ishfaq Ahmad Pakistan	16	152 1.2×	88 1.0×	13 0.2×	53 0.7×	67 1.1×	76	1.1k
Guido Buzzi‐Ferraris Italy	15	155 1.3×	21 0.2×	37 0.5×	27 0.4×	21 0.3×	36	749
Mohd Zaki India	17	425 3.5×	22 0.3×	41 0.5×	30 0.4×	73 1.2×	50	947
William J. Rogers United States	19	325 2.6×	42 0.5×	27 0.3×	224 2.9×	48 0.8×	38	878
Byung Chul Choi South Korea	20	126 1.0×	38 0.4×	22 0.3×	43 0.6×	102 1.6×	50	1.0k
Guochen Zhang China	18	359 2.9×	91 1.0×	39 0.5×	16 0.2×	141 2.3×	87	1.1k
Eugeniusz Molga Poland	22	488 4.0×	35 0.4×	28 0.4×	87 1.1×	75 1.2×	67	1.3k

Countries citing papers authored by Pingfan Hu

Since Specialization

Citations

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

Fields of papers citing papers by Pingfan Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingfan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Pingfan Hu. A scholar is included among the top collaborators of Pingfan Hu 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 Pingfan Hu. Pingfan Hu 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

Sun, Huihui, et al.. (2025). Empowering Smart Soybean Farming with Deep Learning: Progress, Challenges, and Future Perspectives. Agronomy. 15(8). 1831–1831. 3 indexed citations

Li, Yusi, et al.. (2025). Deep Learning in Multimodal Fusion for Sustainable Plant Care: A Comprehensive Review. Sustainability. 17(12). 5255–5255. 14 indexed citations breakdown →

Wu, Alex, et al.. (2025). Deep Learning for Sustainable Aquaculture: Opportunities and Challenges. Sustainability. 17(11). 5084–5084. 16 indexed citations

Hu, Pingfan, et al.. (2025). Research on Obtaining Pepper Phenotypic Parameters Based on Improved YOLOX Algorithm. AgriEngineering. 7(7). 209–209. 10 indexed citations

Hu, Pingfan, et al.. (2023). Developing risk assessment framework for wildfire in the United States – A deep learning approach to safety and sustainability. 1(1). 26–41. 18 indexed citations

Hu, Pingfan, et al.. (2023). CO2 pipelines release and dispersion: A review. Journal of Loss Prevention in the Process Industries. 85. 105177–105177. 11 indexed citations

Xu, Huijin & Pingfan Hu. (2023). Progress on fundamentals of adsorption transport of metal-organic frameworks materials and sustainable applications for water harvesting and carbon capture. Journal of Cleaner Production. 393. 136253–136253. 20 indexed citations

Pang, Zhihong, Xing Lu, Pingfan Hu, Zheng O’Neill, & Qingsheng Wang. (2023). SIREN – smart ventilation for infection risk mitigation and HVAC energy efficiency: a case study amid the COVID-19 pandemic. Journal of Building Performance Simulation. 16(6). 797–825. 1 indexed citations

Pérez, Lisa M., Pingfan Hu, Fernando Soto, et al.. (2022). Thermal Stability of Metal–Organic Frameworks (MOFs): Concept, Determination, and Model Prediction Using Computational Chemistry and Machine Learning. Industrial & Engineering Chemistry Research. 61(17). 5853–5862. 52 indexed citations

10.

Hu, Pingfan, Changjie Cai, Hang Yi, et al.. (2022). Aiding Airway Obstruction Diagnosis With Computational Fluid Dynamics and Convolutional Neural Network: A New Perspective and Numerical Case Study. Journal of Fluids Engineering. 144(8). 14 indexed citations

11.

Hu, Pingfan, Zeren Jiao, Zhuoran Zhang, & Qingsheng Wang. (2021). Development of Solubility Prediction Models with Ensemble Learning. Industrial & Engineering Chemistry Research. 60(30). 11627–11635. 22 indexed citations

12.

Pang, Zhihong, Pingfan Hu, Lü Xing, Qingsheng Wang, & Zheng O’Neill. (2021). A Smart CO2-Based Ventilation Control Framework to Minimize the Infection Risk of COVID-19 In Public Buildings. Building Simulation Conference proceedings. 17. 8 indexed citations

13.

Jiao, Zeren, Pingfan Hu, Hongfei Xu, & Qingsheng Wang. (2020). Machine Learning and Deep Learning in Chemical Health and Safety: A Systematic Review of Techniques and Applications. ACS Chemical Health & Safety. 27(6). 316–334. 126 indexed citations

14.

Jiao, Zeren, Yue Sun, Trent Parker, et al.. (2020). Development of Flammable Dispersion Quantitative Property–Consequence Relationship Models Using Extreme Gradient Boosting. Industrial & Engineering Chemistry Research. 59(33). 15109–15118. 20 indexed citations

15.

Park, Sunhwa, et al.. (2020). Applications of resilience engineering principles in different fields with a focus on industrial systems: A literature review. Journal of Loss Prevention in the Process Industries. 69. 104366–104366. 48 indexed citations

16.

Liu, Yifan, David Raciti, Yuxuan Wang, et al.. (2018). Electro-Oxidation of Ethanol Using Pt₃Sn Alloy Nanoparticles. ACS Catalysis. 8(11). 10931–10937. 62 indexed citations

17.

Liu, Yifan, et al.. (2018). Electrocatalytic Study of Ethylene Glycol Oxidation on Pt₃Sn Alloy Nanoparticles. ChemElectroChem. 6(4). 1004–1008. 15 indexed citations

18.

Si, Tong, Bin Li, Troy J. Comi, et al.. (2017). Profiling of Microbial Colonies for High-Throughput Engineering of Multistep Enzymatic Reactions via Optically Guided Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry. Journal of the American Chemical Society. 139(36). 12466–12473. 53 indexed citations

19.

Ren, Hengqian, Pingfan Hu, & Huimin Zhao. (2017). A plug‐and‐play pathway refactoring workflow for natural product research in Escherichia coli and Saccharomyces cerevisiae. Biotechnology and Bioengineering. 114(8). 1847–1854. 34 indexed citations

20.

Freiburg, Jared T., Julio A. N. T. Soares, & Pingfan Hu. (2016). Barite from the Linwood Mine, Scott County, Iowa. Rocks & Minerals. 92(1). 18–29. 1 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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