Pei Hua

1.8k total citations
65 papers, 1.5k citations indexed

About

Pei Hua is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Engineering. According to data from OpenAlex, Pei Hua has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Health, Toxicology and Mutagenesis, 20 papers in Pollution and 19 papers in Environmental Engineering. Recurrent topics in Pei Hua's work include Air Quality and Health Impacts (12 papers), Toxic Organic Pollutants Impact (12 papers) and Urban Stormwater Management Solutions (12 papers). Pei Hua is often cited by papers focused on Air Quality and Health Impacts (12 papers), Toxic Organic Pollutants Impact (12 papers) and Urban Stormwater Management Solutions (12 papers). Pei Hua collaborates with scholars based in China, Germany and Brazil. Pei Hua's co-authors include Jin Zhang, Peter Krebs, Ruifei Li, Wenyu Yang, Yun Bai, Zhenyu Wang, Gongduan Fan, Dongwei GUI, Xiaoying Zhang and Shanshan Jiang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Pei Hua

59 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
Pei Hua China 22 532 530 454 343 242 65 1.5k
Buddhi Wijesiri Australia 22 638 1.2× 258 0.5× 393 0.9× 498 1.5× 197 0.8× 45 1.5k
Ranjan Sarukkalige Australia 20 294 0.6× 256 0.5× 419 0.9× 629 1.8× 569 2.4× 77 1.6k
Ching‐Ping Liang Taiwan 22 267 0.5× 284 0.5× 521 1.1× 429 1.3× 69 0.3× 55 1.3k
Qiusheng He China 30 595 1.1× 1.1k 2.1× 367 0.8× 215 0.6× 293 1.2× 79 2.5k
Erica R. McKenzie United States 18 355 0.7× 731 1.4× 292 0.6× 254 0.7× 76 0.3× 52 1.7k
Rui Zuo China 20 505 0.9× 302 0.6× 285 0.6× 390 1.1× 77 0.3× 70 1.5k
Brijesh Kumar Yadav India 22 250 0.5× 131 0.2× 481 1.1× 366 1.1× 301 1.2× 107 1.5k
Sreenivasulu Chadalavada Australia 19 308 0.6× 383 0.7× 341 0.8× 165 0.5× 61 0.3× 34 1.2k
Mélida Gutiérrez United States 19 461 0.9× 316 0.6× 153 0.3× 637 1.9× 54 0.2× 70 1.6k
Amir Mohammadi Iran 21 394 0.7× 564 1.1× 225 0.5× 218 0.6× 54 0.2× 69 1.2k

Countries citing papers authored by Pei Hua

Since Specialization
Citations

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

Fields of papers citing papers by Pei Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Hua. A scholar is included among the top collaborators of Pei Hua 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 Pei Hua. Pei Hua 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.
Li, Ruifei, Yu Luo, Xu Zhu, et al.. (2025). Increasing Health Burdens Driven by Global Trade Induced Air Pollution. Earth s Future. 13(1).
2.
Li, Liqing, Hai Huang, Pei Hua, et al.. (2025). Machine learning combined with the PMF model reveals the sources and driving factors of PAHs and Cl-PAHs in urban runoff. Journal of Environmental Sciences. 160. 174–184.
3.
Hua, Pei, et al.. (2025). Hydrology-informed machine learning for enhancing surface runoff elucidation. The Science of The Total Environment. 992. 179936–179936. 1 indexed citations
4.
Yang, Wenyu, Christian Schmidt, Shixue Wu, et al.. (2025). Exacerbated anthropogenic water pollution under climate change and urbanization. Water Research. 280. 123449–123449. 17 indexed citations
5.
Jin, Zhang, Liang Dong, Hai Huang, & Pei Hua. (2024). Elucidating and forecasting the organochlorine pesticides in suspended particulate matter by a two-stage decomposition based interpretable deep learning approach. Water Research. 266. 122315–122315. 9 indexed citations
6.
Yang, Wenyu, Jin Zhang, Pei Hua, & Peter Krebs. (2023). Global framework for flood risk management under climate change and urbanization. 1(1). 100009–100009. 10 indexed citations
7.
Liao, Shuling, et al.. (2023). Trade drives leakage of life-cycle carbon dioxide emissions from plastics in China over 2010–2021. Journal of Cleaner Production. 417. 137994–137994. 9 indexed citations
8.
Wang, Zhenyu, Jin Zhang, Pei Hua, et al.. (2023). Filling in missing pieces in the co-development of artificial intelligence and environmental science. 1(1). 100007–100007. 5 indexed citations
9.
Yang, Wenyu, Jin Zhang, Pei Hua, & Peter Krebs. (2023). Investigating non-point pollution mitigation strategies in response to changing environments: A cross-regional study in China and Germany. Water Research. 244. 120432–120432. 12 indexed citations
10.
Li, Yu, Feng Jiang, Yang Pan, et al.. (2022). Formation of halogenated disinfection byproducts in chlorinated real water during making hot beverage: Effect of sugar addition. Chemosphere. 305. 135417–135417. 8 indexed citations
11.
12.
Wang, Zhenyu, Pei Hua, Heng Dai, et al.. (2020). Influence of surface properties and antecedent environmental conditions on particulate-associated metals in surface runoff. Environmental Science and Ecotechnology. 2. 100017–100017. 7 indexed citations
13.
Huang, Zhenyu, Pei Hua, Zhenyu Wang, et al.. (2020). Environmental behavior and potential driving force of bisphenol A in the Elbe River: A long-term trend study. The Science of The Total Environment. 761. 143251–143251. 8 indexed citations
14.
Li, Ruifei, Pei Hua, Jin Zhang, & Peter Krebs. (2020). Effect of anthropogenic activities on the occurrence of polycyclic aromatic hydrocarbons in aquatic suspended particulate matter: Evidence from Rhine and Elbe Rivers. Water Research. 179. 115901–115901. 59 indexed citations
15.
Wang, Zhenyu, Pei Hua, Ruifei Li, et al.. (2019). Concentration decline in response to source shift of trace metals in Elbe River, Germany: A long-term trend analysis during 1998–2016. Environmental Pollution. 250. 511–519. 20 indexed citations
16.
Li, Ruifei, Pei Hua, Jin Zhang, & Peter Krebs. (2019). A decline in the concentration of PAHs in Elbe River suspended sediments in response to a source change. The Science of The Total Environment. 663. 438–446. 23 indexed citations
17.
Zhang, Jin, Junwei Wu, Pei Hua, et al.. (2017). The influence of land use on source apportionment and risk assessment of polycyclic aromatic hydrocarbons in road-deposited sediment. Environmental Pollution. 229. 705–714. 38 indexed citations
18.
Zhang, Jin, Jing Wang, Pei Hua, & Peter Krebs. (2014). The qualitative and quantitative source apportionments of polycyclic aromatic hydrocarbons in size dependent road deposited sediment. The Science of The Total Environment. 505. 90–101. 57 indexed citations
19.
Hua, Pei, et al.. (2011). Soil and Water Conservation Measures of 500 kV Overhead Power Transmission Lines in Earth-rocky Mountainous Area of Southwestern China. Bulletin of Soil and Water Conservation. 31(6). 108–112. 2 indexed citations
20.
Hua, Pei. (2000). Studies on Chemical Preparation of Fe-P-B Ultrafine Amorphous Alloy Particles and the Interaction of the Components. Chemical Research in Chinese Universities. 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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