Jia-Yuan Lu

886 total citations · 1 hit paper
8 papers, 746 citations indexed

About

Jia-Yuan Lu is a scholar working on Water Science and Technology, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Jia-Yuan Lu has authored 8 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Water Science and Technology, 5 papers in Renewable Energy, Sustainability and the Environment and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Jia-Yuan Lu's work include Advanced oxidation water treatment (5 papers), Advanced Photocatalysis Techniques (4 papers) and Water Treatment and Disinfection (2 papers). Jia-Yuan Lu is often cited by papers focused on Advanced oxidation water treatment (5 papers), Advanced Photocatalysis Techniques (4 papers) and Water Treatment and Disinfection (2 papers). Jia-Yuan Lu collaborates with scholars based in China and Hong Kong. Jia-Yuan Lu's co-authors include Wen‐Wei Li, Shuo Cui, Houqi Liu, Chen‐Xuan Li, Chang-Bin Chen, Jie Li, Feng Zhang, Xiao Hu, Wu‐Jun Liu and Yunjie Wang and has published in prestigious journals such as The Science of The Total Environment, Applied Catalysis B: Environmental and Chemical Engineering Journal.

In The Last Decade

Jia-Yuan Lu

8 papers receiving 741 citations

Hit Papers

Spatiotemporal pattern of greenhouse gas emissions in Chi... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia-Yuan Lu China 8 459 418 192 162 146 8 746
Anlin Xu China 16 299 0.7× 364 0.9× 126 0.7× 109 0.7× 144 1.0× 35 579
Zilan Jin China 11 432 0.9× 587 1.4× 352 1.8× 201 1.2× 85 0.6× 11 883
Shuangjie Xiao China 12 427 0.9× 581 1.4× 343 1.8× 212 1.3× 84 0.6× 17 896
Jun-ming Hong China 16 275 0.6× 233 0.6× 120 0.6× 173 1.1× 139 1.0× 41 703
Zhenbei Wang China 17 341 0.7× 514 1.2× 184 1.0× 189 1.2× 83 0.6× 34 753
Qinglu Fang China 10 295 0.6× 367 0.9× 123 0.6× 185 1.1× 93 0.6× 12 634
Yaxiao Duan China 10 407 0.9× 440 1.1× 140 0.7× 156 1.0× 97 0.7× 11 653
Xinxin Long China 11 384 0.8× 304 0.7× 132 0.7× 236 1.5× 100 0.7× 18 658
Corinne Ferronato France 10 491 1.1× 406 1.0× 137 0.7× 222 1.4× 106 0.7× 12 805
Shaobin Sun China 12 284 0.6× 301 0.7× 122 0.6× 168 1.0× 120 0.8× 20 619

Countries citing papers authored by Jia-Yuan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jia-Yuan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia-Yuan Lu. 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 Jia-Yuan Lu. The network helps show where Jia-Yuan Lu may publish in the future.

Co-authorship network of co-authors of Jia-Yuan Lu

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

All Works

8 of 8 papers shown
1.
Du, Wenjie, Jia-Yuan Lu, Juanxiu Xiao, et al.. (2023). Spatiotemporal pattern of greenhouse gas emissions in China’s wastewater sector and pathways towards carbon neutrality. Nature Water. 1(2). 166–175. 145 indexed citations breakdown →
2.
Lu, Jia-Yuan, Xiao Hu, Wu‐Jun Liu, et al.. (2020). MOF-Derived Fe2O3/Nitrogen/Carbon Composite as a Stable Heterogeneous Electro-Fenton Catalyst. Industrial & Engineering Chemistry Research. 59(5). 1800–1808. 65 indexed citations
3.
Li, Chen‐Xuan, Yunjie Wang, Chang-Bin Chen, et al.. (2019). Interactions between chlorophenols and peroxymonosulfate: pH dependency and reaction pathways. The Science of The Total Environment. 664. 133–139. 44 indexed citations
4.
Li, Chen‐Xuan, Chang-Bin Chen, Yunjie Wang, et al.. (2019). Insights on the pH-dependent roles of peroxymonosulfate and chlorine ions in phenol oxidative transformation. Chemical Engineering Journal. 362. 570–575. 95 indexed citations
5.
Hu, Xiao, Min Yuan, Linlin Ma, et al.. (2019). Iron-nitrogen doped carbon with exclusive presence of FexN active sites as an efficient ORR electrocatalyst for Zn-air battery. Applied Catalysis B: Environmental. 268. 118405–118405. 108 indexed citations
6.
Chen, Chang-Bin, Chen‐Xuan Li, Yingjie Zhang, et al.. (2018). Cyano-rich mesoporous carbon nitride nanospheres for visible-light-driven photocatalytic degradation of pollutants. Environmental Science Nano. 5(12). 2966–2977. 35 indexed citations
7.
Chen, Chang-Bin, Feng Zhang, Chen‐Xuan Li, et al.. (2017). A magnetic CoFe2O4–CNS nanocomposite as an efficient, recyclable catalyst for peroxymonosulfate activation and pollutant degradation. RSC Advances. 7(87). 55020–55025. 46 indexed citations
8.
Li, Chen‐Xuan, Chang-Bin Chen, Jia-Yuan Lu, et al.. (2017). Metal organic framework-derived CoMn2O4 catalyst for heterogeneous activation of peroxymonosulfate and sulfanilamide degradation. Chemical Engineering Journal. 337. 101–109. 208 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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