Xiaoshi Cheng

1.3k total citations
36 papers, 1.1k citations indexed

About

Xiaoshi Cheng is a scholar working on Pollution, Building and Construction and Water Science and Technology. According to data from OpenAlex, Xiaoshi Cheng has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pollution, 15 papers in Building and Construction and 14 papers in Water Science and Technology. Recurrent topics in Xiaoshi Cheng's work include Anaerobic Digestion and Biogas Production (15 papers), Wastewater Treatment and Nitrogen Removal (11 papers) and Pharmaceutical and Antibiotic Environmental Impacts (11 papers). Xiaoshi Cheng is often cited by papers focused on Anaerobic Digestion and Biogas Production (15 papers), Wastewater Treatment and Nitrogen Removal (11 papers) and Pharmaceutical and Antibiotic Environmental Impacts (11 papers). Xiaoshi Cheng collaborates with scholars based in China. Xiaoshi Cheng's co-authors include Jingyang Luo, Jiashun Cao, Wenxuan Huang, Shiyu Fang, Yang Wu, Fang Fang, Le Zhang, Wei Du, Qian Feng and Feng Wang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Xiaoshi Cheng

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoshi Cheng China	20	604	459	256	206	187	36	1.1k
Shiyu Fang China	21	616 1.0×	596 1.3×	341 1.3×	191 0.9×	225 1.2×	40	1.2k
Paul Sallis United Kingdom	23	791 1.3×	512 1.1×	554 2.2×	237 1.2×	383 2.0×	60	1.7k
Wen Guo China	13	468 0.8×	437 1.0×	255 1.0×	145 0.7×	185 1.0×	18	897
Zhaoxia Xue China	20	578 1.0×	262 0.6×	408 1.6×	124 0.6×	198 1.1×	42	1.3k
Wenxuan Huang China	25	918 1.5×	847 1.8×	494 1.9×	345 1.7×	380 2.0×	52	1.8k
Simon Felz Netherlands	8	531 0.9×	125 0.3×	297 1.2×	108 0.5×	114 0.6×	9	829
Naidong Xiao China	15	478 0.8×	521 1.1×	267 1.0×	167 0.8×	350 1.9×	37	1.2k
Rumana Riffat United States	19	929 1.5×	223 0.5×	524 2.0×	113 0.5×	184 1.0×	61	1.3k
Ruming Wang China	20	372 0.6×	570 1.2×	239 0.9×	163 0.8×	363 1.9×	28	1.2k
Mingting Du China	16	567 0.9×	732 1.6×	339 1.3×	190 0.9×	223 1.2×	27	1.2k

Countries citing papers authored by Xiaoshi Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoshi Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoshi Cheng

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

Cheng, Xiaoshi, et al.. (2025). A Thyroid Nodule Ultrasound Image Grading Model Integrating Medical Prior Knowledge. Journal of Imaging Informatics in Medicine. 38(6). 3773–3788. 1 indexed citations

Huang, Wenxuan, Xiaoshi Cheng, Yuxiao Li, et al.. (2024). Signaling molecule alleviates inhibitory impacts of surfactant on methane production during sludge and food waste co-digestion: Insights of electron bifurcation and quorum sensing. Journal of Hazardous Materials. 484. 136810–136810. 12 indexed citations

Cheng, Xiaoshi, Le Zhang, Zhicheng Wei, et al.. (2024). Overlooked roles of improved substrates functions in remodeling microbial community and driving metabolic traits during sludge fermentation triggered by surfactants and antibiotics co-existence. Journal of Hazardous Materials. 482. 136617–136617. 3 indexed citations

Li, Ziyu, Zhenzhou Li, Yujie Yuan, et al.. (2024). Dose-dependent effects of different parabens on food waste biorefinery for volatile fatty acids production: Insight into specific fermentation processes, substrates transformation and microbial metabolic traits. The Science of The Total Environment. 946. 174319–174319. 1 indexed citations

Cheng, Xiaoshi, Zhicheng Wei, Jiashun Cao, et al.. (2024). Untangling the interplay of dissolved organic matters variation with microbial symbiotic network in sludge anaerobic fermentation triggered by various pretreatments. Water Research. 260. 121930–121930. 39 indexed citations

Luo, Jingyang, Xinyi Liu, Wenxuan Huang, et al.. (2023). Novel calcium oxide activated peroxymonosulfate system for methylene blue removal: Identification of key influencing factors, transformation pathway and toxicity assessment. Chemosphere. 349. 140955–140955. 16 indexed citations

Li, Yuxiao, Wenxuan Huang, Shiyu Fang, et al.. (2023). Zinc pyrithione induced volatile fatty acids promotion derived from sludge anaerobic digestion: Interrelating the affected steps with microbial metabolic regulation and adaptive responses. Water Research. 234. 119816–119816. 80 indexed citations

Luo, Jingyang, Yuting Luo, Xiaoshi Cheng, et al.. (2023). Prediction of biological nutrients removal in full-scale wastewater treatment plants using H2O automated machine learning and back propagation artificial neural network model: Optimization and comparison. Bioresource Technology. 390. 129842–129842. 18 indexed citations

Luo, Jingyang, Zhicheng Wei, Xiaoshi Cheng, et al.. (2023). Surfactant and antibiotic co-occurrence reshaped the acidogenic process for volatile fatty acids production during sludge anaerobic fermentation. The Science of The Total Environment. 905. 167064–167064. 15 indexed citations

10.

Luo, Jingyang, Jiashun Cao, Wen Guo, et al.. (2022). Antagonistic effects of surfactants and CeO2 nanoparticles co-occurrence on the sludge fermentation process: Novel insights of interaction mechanisms and microbial networks. Journal of Hazardous Materials. 438. 129556–129556. 53 indexed citations

11.

Cheng, Xiaoshi, Le Zhang, Zhicheng Wei, et al.. (2022). Distinct effects of typical sludge pretreatment approaches on the antibiotic resistance genes variations, associated bacterial community dynamics and metabolic activities during anaerobic fermentation process. Environmental Research. 216(Pt 4). 114767–114767. 24 indexed citations

12.

Wang, Feng, Yang Wu, Wei Du, et al.. (2022). How does the polyhexamethylene guanidine interact with waste activated sludge and affect the metabolic functions in anaerobic fermentation for volatile fatty acids production. The Science of The Total Environment. 839. 156329–156329. 18 indexed citations

13.

Du, Wei, Tao Wang, Zhenzhou Li, et al.. (2022). Para-chloro-meta-xylenol reshaped the fates of antibiotic resistance genes during sludge fermentation: Insights of cell membrane permeability, bacterial structure and biological pathways. The Science of The Total Environment. 850. 158083–158083. 34 indexed citations

14.

Wang, Feng, Wei Du, Le Zhang, et al.. (2022). Unveiling the risks and critical mechanisms of polyhexamethylene guanidine on the antibiotic resistance genes propagation during sludge fermentation process. Bioresource Technology. 359. 127488–127488. 16 indexed citations

15.

Fang, Shiyu, Jiashun Cao, Wenxuan Huang, et al.. (2022). Reutilization of waste crawfish shell and sludge for efficient volatile fatty acids production by synchronously regulating the bioavailable substrates and microbial metabolic traits. Journal of Cleaner Production. 349. 131456–131456. 45 indexed citations

16.

Luo, Jingyang, Xiaoshi Cheng, Yinglong Su, et al.. (2021). Metagenomic assembly deciphered the type-dependent effects of surfactants on the fates of antibiotics resistance genes during sludge fermentation and the underlying mechanisms. The Science of The Total Environment. 807(Pt 1). 150822–150822. 20 indexed citations

17.

Cheng, Xiaoshi, Suna Wang, Wenxuan Huang, et al.. (2021). Current status of hypochlorite technology on the wastewater treatment and sludge disposal: Performance, principals and prospects. The Science of The Total Environment. 803. 150085–150085. 69 indexed citations

18.

Luo, Jingyang, Le Zhang, Wei Du, et al.. (2021). Metagenomic approach reveals the fates and mechanisms of antibiotic resistance genes exposed to allicins during waste activated sludge fermentation: Insight of the microbial community, cellular status and gene regulation. Bioresource Technology. 342. 125998–125998. 38 indexed citations

19.

Xu, Runze, Shiyu Fang, Le Zhang, et al.. (2021). Revealing the intrinsic drawbacks of waste activated sludge for efficient anaerobic digestion and the potential mitigation strategies. Bioresource Technology. 345. 126482–126482. 48 indexed citations

20.

Wang, Feng, Jingyang Luo, Shiyu Fang, et al.. (2021). Mechanisms of allicin exposure for the sludge fermentation enhancement: Focusing on the fermentation processes and microbial metabolic traits. Journal of Environmental Sciences. 115. 253–264. 80 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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