Qingye Hou

1.5k total citations
47 papers, 1.2k citations indexed

About

Qingye Hou is a scholar working on Pollution, Artificial Intelligence and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Qingye Hou has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Pollution, 18 papers in Artificial Intelligence and 15 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Qingye Hou's work include Heavy metals in environment (38 papers), Geochemistry and Geologic Mapping (18 papers) and Heavy Metal Exposure and Toxicity (10 papers). Qingye Hou is often cited by papers focused on Heavy metals in environment (38 papers), Geochemistry and Geologic Mapping (18 papers) and Heavy Metal Exposure and Toxicity (10 papers). Qingye Hou collaborates with scholars based in China, Ireland and United States. Qingye Hou's co-authors include Zhongfang Yang, Tao Yu, Xueqi Xia, Junfeng Ji, Wei Jiang, Cong Zhong, Qizuan Zhang, Cheng Li, Guoguang Chen and Xuyin Yuan and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Journal of Cleaner Production.

In The Last Decade

Qingye Hou

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingye Hou China 20 835 387 239 162 147 47 1.2k
Elizabeth Hernández-Álvarez Mexico 22 863 1.0× 438 1.1× 271 1.1× 175 1.1× 139 0.9× 55 1.5k
Dionisios Gasparatos Greece 22 525 0.6× 168 0.4× 126 0.5× 149 0.9× 199 1.4× 73 1.4k
Xiuying Zhang China 21 591 0.7× 431 1.1× 114 0.5× 153 0.9× 96 0.7× 43 1.4k
Denis Baize France 21 947 1.1× 194 0.5× 329 1.4× 109 0.7× 130 0.9× 39 1.4k
Nicolai Mirlean Brazil 24 839 1.0× 738 1.9× 98 0.4× 284 1.8× 229 1.6× 77 1.5k
Xuyin Yuan China 21 1.3k 1.5× 544 1.4× 287 1.2× 258 1.6× 244 1.7× 88 1.8k
F. Douay France 16 870 1.0× 335 0.9× 180 0.8× 157 1.0× 164 1.1× 19 1.3k
Bernhard A. Zarcinas Australia 11 860 1.0× 303 0.8× 134 0.6× 242 1.5× 152 1.0× 15 1.8k
Javed Iqbal Pakistan 20 1.1k 1.3× 509 1.3× 370 1.5× 109 0.7× 166 1.1× 35 1.5k
Nicolas Proix France 15 849 1.0× 275 0.7× 220 0.9× 188 1.2× 157 1.1× 26 1.1k

Countries citing papers authored by Qingye Hou

Since Specialization
Citations

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

Fields of papers citing papers by Qingye Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingye Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Qingye Hou. A scholar is included among the top collaborators of Qingye Hou 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 Qingye Hou. Qingye Hou 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, Siyuan, et al.. (2025). The spatial distribution pattern and influencing factors of chromium (Cr) in topsoil of eastern and central China. Journal of Hazardous Materials. 495. 138925–138925.
2.
Li, Tingting, Lei Dou, Zijia Liu, et al.. (2025). Predicting the Zinc Content in Rice from Farmland Using Machine Learning Models: Insights from Universal Geochemical Parameters. Applied Sciences. 15(3). 1273–1273. 1 indexed citations
3.
Zhang, Liyue, Tao Yu, Guodong Zheng, et al.. (2025). Using machine learning to predict selenium content in crops: Implications for soil health and agricultural land utilization in longevity regions. The Science of The Total Environment. 964. 178520–178520. 4 indexed citations
4.
5.
Ren, Rui, et al.. (2023). Using machine learning to predict selenium and cadmium contents in rice grains from black shale-distributed farmland area. The Science of The Total Environment. 912. 168802–168802. 19 indexed citations
6.
Li, Cheng, Chaosheng Zhang, Tao Yu, et al.. (2023). Identification of soil parent materials in naturally high background areas based on machine learning. The Science of The Total Environment. 875. 162684–162684. 17 indexed citations
7.
Li, Fengyan, Tao Yu, Zhongfang Yang, et al.. (2023). Linking health to geology-a new assessment and zoning model based on the frame of medical geology. Environmental Geochemistry and Health. 45(10). 7145–7159. 3 indexed citations
8.
Hou, Qingye, et al.. (2023). Impacts of periodic saltwater inundation on heavy metals in soils from the Pearl River Delta, China. Marine Environmental Research. 187. 105968–105968. 12 indexed citations
9.
Wang, Jiaxin, Qingye Hou, Zhongfang Yang, et al.. (2023). Distribution of potentially toxic elements in soils and sediments in Pearl River Delta, China: Natural versus anthropogenic source discrimination. The Science of The Total Environment. 903. 166573–166573. 13 indexed citations
10.
Li, Cheng, Chaosheng Zhang, Tao Yu, et al.. (2022). Use of artificial neural network to evaluate cadmium contamination in farmland soils in a karst area with naturally high background values. Environmental Pollution. 304. 119234–119234. 50 indexed citations
11.
Liu, Xu, Tao Yu, Zhongfang Yang, et al.. (2021). Transfer mechanism and bioaccumulation risk of potentially toxic elements in soil–rice systems comparing different soil parent materials. Ecotoxicology and Environmental Safety. 216. 112214–112214. 15 indexed citations
12.
Li, Cheng, Zhongfang Yang, Tao Yu, et al.. (2020). Study on safe usage of agricultural land in karst and non-karst areas based on soil Cd and prediction of Cd in rice: A case study of Heng County, Guangxi. Ecotoxicology and Environmental Safety. 208. 111505–111505. 60 indexed citations
13.
Hou, Qingye, et al.. (2020). Impacts of parent material on distributions of potentially toxic elements in soils from Pearl River Delta in South China. Scientific Reports. 10(1). 17394–17394. 24 indexed citations
14.
Yu, Tao, Qingye Hou, Wenjun Ma, et al.. (2020). Safe utilization and zoning on natural selenium-rich land resources: a case study of the typical area in Enshi County, China. Environmental Geochemistry and Health. 42(9). 2803–2818. 33 indexed citations
15.
Yu, Tao, Zhongfang Yang, Junfeng Ji, et al.. (2019). Prediction and risk assessment of five heavy metals in maize and peanut: A case study of Guangxi, China. Environmental Toxicology and Pharmacology. 70. 103199–103199. 48 indexed citations
16.
Yang, Zhongfang, et al.. (2019). Application of ecogeochemical prediction model to safely exploit seleniferous soil. Ecotoxicology and Environmental Safety. 177. 133–139. 30 indexed citations
17.
Zhong, Cong, Zhongfang Yang, Wei Jiang, et al.. (2016). Ecological geochemical assessment and source identification of trace elements in atmospheric deposition of an emerging industrial area: Beibu Gulf economic zone. The Science of The Total Environment. 573. 1519–1526. 33 indexed citations
18.
Jiang, Wei, Qingye Hou, Zhongfang Yang, et al.. (2014). Evaluation of potential effects of soil available phosphorus on soil arsenic availability and paddy rice inorganic arsenic content. Environmental Pollution. 188. 159–165. 79 indexed citations
19.
Yuan, Cong, et al.. (2008). Dry and wet atmospheric deposition fluxes of elements in the Plain area of Beijing Municipality, China. Dizhi tongbao. 27(2). 257–264. 14 indexed citations
20.
Yuan, Cong, et al.. (2008). Ecological risk assessments of heavy metals in soils of the farmland ecosystem of Beijing,CHina. Dizhi tongbao. 27(5). 681–688. 4 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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