Haoyi Peng

2.8k total citations
35 papers, 2.2k citations indexed

About

Haoyi Peng is a scholar working on Biomedical Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Haoyi Peng has authored 35 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 18 papers in Mechanical Engineering and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Haoyi Peng's work include Thermochemical Biomass Conversion Processes (23 papers), Catalysis and Hydrodesulfurization Studies (13 papers) and Subcritical and Supercritical Water Processes (8 papers). Haoyi Peng is often cited by papers focused on Thermochemical Biomass Conversion Processes (23 papers), Catalysis and Hydrodesulfurization Studies (13 papers) and Subcritical and Supercritical Water Processes (8 papers). Haoyi Peng collaborates with scholars based in China, Singapore and Poland. Haoyi Peng's co-authors include Hailong Li, Lijian Leng, Weijin Zhang, Shaojian Jiang, Lihong Yang, Songqi Leng, Zequn Yang, Hao Zhan, Huajun Huang and Wenguang Zhou and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Haoyi Peng

34 papers receiving 2.2k citations

Peers

Countries citing papers authored by Haoyi Peng

Since Specialization

Citations

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

Fields of papers citing papers by Haoyi Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyi Peng

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Machine learning-aided engineering of biochar from biomass pyrolysis and activation processes for enhanced CO2 adsorption 2025 ·Separation and Purification Technology ·Zejian Ai, Chuan Cao, Weijin Zhang, Zhengyong Xu, (unknown), Haoyi Peng, Lijian Leng, Hailong Li	0
2	Engineering biochar from biomass pyrolysis for effective adsorption of heavy metal: An innovative machine learning approach 2025 ·Separation and Purification Technology ·Lijian Leng, (unknown), (unknown), Zhibin Wu, (unknown), Shengqiang Liu, (unknown), Haoyi Peng, Hao Zhan, Hailong Li	16
3	A novel intelligent system based on machine learning for hydrochar multi-target prediction from the hydrothermal carbonization of biomass 2024 ·Biochar ·Weijin Zhang, (unknown), Qian Liu, Zhengyong Xu, Haoyi Peng, Lijian Leng, Hailong Li	18
4	Machine-learning-aided prediction and optimization of struvite recovery from synthetic wastewater 2024 ·Journal of Water Process Engineering ·Lijian Leng, (unknown), Donghai Xu, Krzysztof Kapusta, Ting Xiong, Zhengyong Xu, Liangliang Fan, Tonggui Liu, Haoyi Peng, Hailong Li	11
5	Feature engineering for improved machine-learning-aided studying heavy metal adsorption on biochar 2024 ·Journal of Hazardous Materials ·(unknown), Haoyi Peng, Xingzhong Yuan, Yunshan Liang, Shengqiang Liu, Zhibin Wu, Lijian Leng, Pufeng Qin	46
6	Automated machine learning-aided prediction and interpretation of gaseous by-products from the hydrothermal liquefaction of biomass 2024 ·The Science of The Total Environment ·Weijin Zhang, (unknown), Qingyue Chen, Jiefeng Chen, Donghai Xu, (unknown), Krzysztof Kapusta, Haoyi Peng, Lijian Leng, Hailong Li	8
7	Utilization and valorization of pharmaceutical process residues: Current status and future trends 2024 ·Journal of Cleaner Production ·Hao Zhan, (unknown), (unknown), Xiuzheng Zhuang, Haoyi Peng, Zhiyong Zeng, Lijian Leng	11
8	Machine-learning-aided hydrochar production through hydrothermal carbonization of biomass by engineering operating parameters and/or biomass mixture recipes 2023 ·Energy ·Lijian Leng, (unknown), Weijin Zhang, Jiefeng Chen, Zhibin Wu, Donghai Xu, Hao Zhan, Xingzhong Yuan, Zhengyong Xu, Haoyi Peng, Zequn Yang, Hailong Li	18
9	Machine-learning-aided thermochemical treatment of biomass: a review 2023 ·Biofuel Research Journal ·Hailong Li, Jiefeng Chen, Weijin Zhang, Hao Zhan, Chao He, Zequn Yang, Haoyi Peng, Lijian Leng	110
10	Insights into glycine pyrolysis mechanisms: Integrated experimental and molecular dynamics/DFT simulation studies 2023 ·Fuel ·Lijian Leng, Lihong Yang, Hongxiao Zu, Jiayi Yang, Zejian Ai, Weijin Zhang, Haoyi Peng, Hao Zhan, Hailong Li, Qifan Zhong	17
11	Machine learning prediction of nitrogen heterocycles in bio-oil produced from hydrothermal liquefaction of biomass 2022 ·Bioresource Technology ·Lijian Leng, Weijin Zhang, Qingyue Chen, (unknown), Haoyi Peng, Hao Zhan, Hailong Li	48
12	Co-liquefaction of Chlorella and soybean straw for production of bio-crude: Effects of reusing aqueous phase as the reaction medium 2022 ·The Science of The Total Environment ·Songqi Leng, (unknown), Tonggui Liu, Wei Pan, Jiefeng Chen, Jie Chen, Huajun Huang, Haoyi Peng, Zhibin Wu, Lijian Leng, Wenguang Zhou	32
13	Machine learning assisted predicting and engineering specific surface area and total pore volume of biochar 2022 ·Bioresource Technology ·Hailong Li, Zejian Ai, Lihong Yang, Weijin Zhang, Zequn Yang, Haoyi Peng, Lijian Leng	89
14	Machine learning for hydrothermal treatment of biomass: A review 2022 ·Bioresource Technology ·Weijin Zhang, Qingyue Chen, Jiefeng Chen, Donghai Xu, Hao Zhan, Haoyi Peng, Jian Pan, Mikhail S. Vlaskin, Lijian Leng, Hailong Li	104
15	Machine learning predicting and engineering the yield, N content, and specific surface area of biochar derived from pyrolysis of biomass 2022 ·Biochar ·Lijian Leng, Lihong Yang, (unknown), Weijin Zhang, Zejian Ai, Zequn Yang, Hao Zhan, Jianping Yang, Xingzhong Yuan, Haoyi Peng, Hailong Li	88
16	Machine learning predicting wastewater properties of the aqueous phase derived from hydrothermal treatment of biomass 2022 ·Bioresource Technology ·Lijian Leng, Weijin Zhang, Tonggui Liu, Hao Zhan, Jie Li, Lihong Yang, Jianan Li, Haoyi Peng, Hailong Li	58
17	Co-culture of fungi-microalgae consortium for wastewater treatment: A review 2021 ·Bioresource Technology ·Lijian Leng, Wenting Li, Jie Chen, Songqi Leng, Jiefeng Chen, Wei Liang, Haoyi Peng, Jun Li, Wenguang Zhou, Huajun Huang	129
18	Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algae 2021 ·Bioresource Technology ·Weijin Zhang, Jie Li, Tonggui Liu, Songqi Leng, Lihong Yang, Haoyi Peng, Shaojian Jiang, Wenguang Zhou, Lijian Leng, Hailong Li	129
19	A review on nitrogen transformation in hydrochar during hydrothermal carbonization of biomass containing nitrogen 2020 ·The Science of The Total Environment ·Lijian Leng, Lihong Yang, Songqi Leng, Weijin Zhang, Yaoyu Zhou, Haoyi Peng, Hui Li, Yingchao Hu, Shaojian Jiang, Hailong Li	165
20	Thermal conversion of tobacco stem into gaseous products 2019 ·Journal of Thermal Analysis and Calorimetry ·Chunhao Wang, Liqing Li, Ruofei Chen, Xiancheng Ma, Mingming Lu, Weiwu Ma, Haoyi Peng	24

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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