Yulei Liu

1.8k total citations
31 papers, 1.6k citations indexed

About

Yulei Liu is a scholar working on Water Science and Technology, Biomedical Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yulei Liu has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Water Science and Technology, 10 papers in Biomedical Engineering and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yulei Liu's work include Advanced oxidation water treatment (14 papers), Environmental remediation with nanomaterials (9 papers) and Water Treatment and Disinfection (7 papers). Yulei Liu is often cited by papers focused on Advanced oxidation water treatment (14 papers), Environmental remediation with nanomaterials (9 papers) and Water Treatment and Disinfection (7 papers). Yulei Liu collaborates with scholars based in China, United Kingdom and Australia. Yulei Liu's co-authors include Jun Ma, Lu Wang, Jin Jiang, Zhuangsong Huang, Feng Zhao, Xiujuan Kong, Yi Yang, Weili Liu, Jingyao Qi and Xiaodan Zhao and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Hazardous Materials.

In The Last Decade

Yulei Liu

30 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulei Liu China 20 934 465 431 400 345 31 1.6k
Shoujun Yuan China 26 866 0.9× 635 1.4× 377 0.9× 347 0.9× 367 1.1× 74 2.0k
Baolin Hou China 26 1.0k 1.1× 449 1.0× 367 0.9× 471 1.2× 202 0.6× 66 2.0k
Zhou Shi China 30 1.5k 1.6× 442 1.0× 602 1.4× 536 1.3× 409 1.2× 68 2.2k
Carmen M. Domínguez Spain 29 1.0k 1.1× 325 0.7× 505 1.2× 639 1.6× 220 0.6× 59 1.9k
Seong‐Nam Nam South Korea 23 735 0.8× 310 0.7× 344 0.8× 281 0.7× 452 1.3× 51 1.7k
Kumudini V. Marathe India 16 1.2k 1.2× 294 0.6× 312 0.7× 407 1.0× 205 0.6× 46 1.9k
Ojo O. Fatoba South Africa 22 591 0.6× 464 1.0× 384 0.9× 305 0.8× 259 0.8× 44 2.0k
Jiawei Chen China 22 1.1k 1.1× 472 1.0× 336 0.8× 730 1.8× 208 0.6× 44 2.0k
Inseong Hwang South Korea 22 717 0.8× 301 0.6× 280 0.6× 772 1.9× 216 0.6× 66 1.6k
Do-Gun Kim South Korea 27 920 1.0× 294 0.6× 576 1.3× 736 1.8× 222 0.6× 70 2.0k

Countries citing papers authored by Yulei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yulei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yulei Liu. A scholar is included among the top collaborators of Yulei Liu 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 Yulei Liu. Yulei Liu 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.
Liu, Qingliang, Lu Wang, Xianshi Wang, et al.. (2023). Interpreting the degradation mechanism of triclosan in microbial fuel cell by combining analysis microbiome community and degradation pathway. Chemosphere. 321. 137983–137983. 8 indexed citations
2.
Wang, Yu, et al.. (2023). Efficient time-delay attack detection based on node pruning and model fusion in IoT networks. Peer-to-Peer Networking and Applications. 16(2). 1286–1309. 1 indexed citations
3.
Shi, Wei, Xiaojing Liu, Yulei Liu, et al.. (2023). Catalytic ozonation of hard COD in coking wastewater with Fe2O3/Al2O3-SiC: From catalyst design to industrial application. Journal of Hazardous Materials. 447. 130759–130759. 38 indexed citations
4.
Wang, Yunpeng, Yulei Liu, Wenjie Tian, et al.. (2023). Enhanced ferrate(VI) oxidation of organic pollutants through direct electron transfer. Water Research. 244. 120506–120506. 34 indexed citations
5.
6.
He, Haiyang, et al.. (2022). Novel activated system of ferrate oxidation on organic substances degradation: Fe(VI) regeneration or Fe(VI) reduction. Separation and Purification Technology. 304. 122322–122322. 17 indexed citations
7.
He, Haiyang, et al.. (2022). Improvement of Fe(VI) oxidation by NaClO on degrading phenolic substances and reducing DBPs formation potential. The Science of The Total Environment. 864. 161080–161080. 8 indexed citations
8.
He, Haiyang, Yulei Liu, Lu Wang, et al.. (2022). Improvements of ferrate(VI) pretreatment on membrane flux and membrane rejection using cheap NaClO reagent. Water Research. 229. 119520–119520. 23 indexed citations
9.
Shi, Wei, Xiaojing Liu, Yulei Liu, et al.. (2022). Catalytic Ozonation of Hard Cod in Coking Wastewater with Fe2o3/Al2o3-Sic: From Catalyst Design to Full-Scale Application. SSRN Electronic Journal. 1 indexed citations
10.
Tian, Shiqi, Yulei Liu, Linran Jia, et al.. (2022). Insight into the oxidation of phenolic pollutants by enhanced permanganate with biochar: The role of high-valent manganese intermediate species. Journal of Hazardous Materials. 430. 128460–128460. 39 indexed citations
11.
12.
Sun, Shaofang, Jin Jiang, Su–Yan Pang, et al.. (2018). Oxidation of theophylline by Ferrate (VI) and formation of disinfection byproducts during subsequent chlorination. Separation and Purification Technology. 201. 283–290. 16 indexed citations
13.
Liu, Yulei, Tao Yang, Lu Wang, et al.. (2018). Interpreting the effects of natural organic matter on antimicrobial activity of Ag2S nanoparticles with soft particle theory. Water Research. 145. 12–20. 32 indexed citations
14.
Zhang, Wei, Caihong Liu, Tong Zheng, et al.. (2018). Efficient oxidation and sorption of arsenite using a novel titanium(IV)-manganese(IV) binary oxide sorbent. Journal of Hazardous Materials. 353. 410–420. 65 indexed citations
15.
Wang, Xianshi, Yulei Liu, Zhuangsong Huang, et al.. (2018). Rapid oxidation of iodide and hypoiodous acid with ferrate and no formation of iodoform and monoiodoacetic acid in the ferrate/I−/HA system. Water Research. 144. 592–602. 47 indexed citations
16.
Wang, Lu, Yulei Liu, Chao Wang, et al.. (2017). Anoxic biodegradation of triclosan and the removal of its antimicrobial effect in microbial fuel cells. Journal of Hazardous Materials. 344. 669–678. 59 indexed citations
17.
Liu, Yulei, Lu Wang, Xianshi Wang, et al.. (2017). Highly efficient removal of trace thallium from contaminated source waters with ferrate: Role of in situ formed ferric nanoparticle. Water Research. 124. 149–157. 89 indexed citations
18.
Wang, Zilin, et al.. (2016). Degradation of organic pollutants by NiFe2O4/peroxymonosulfate: efficiency, influential factors and catalytic mechanism. RSC Advances. 6(13). 11040–11048. 89 indexed citations
19.
Kong, Xiujuan, Jin Jiang, Jun Ma, et al.. (2015). Degradation of atrazine by UV/chlorine: Efficiency, influencing factors, and products. Water Research. 90. 15–23. 302 indexed citations
20.
Wang, Lu, Yulei Liu, Jun Ma, & Feng Zhao. (2015). Rapid degradation of sulphamethoxazole and the further transformation of 3-amino-5-methylisoxazole in a microbial fuel cell. Water Research. 88. 322–328. 180 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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