Jun Wan

1.1k total citations
37 papers, 918 citations indexed

About

Jun Wan is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Water Science and Technology. According to data from OpenAlex, Jun Wan has authored 37 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 12 papers in Renewable Energy, Sustainability and the Environment and 11 papers in Water Science and Technology. Recurrent topics in Jun Wan's work include Advanced Photocatalysis Techniques (10 papers), Electrochemical sensors and biosensors (9 papers) and Electrochemical Analysis and Applications (8 papers). Jun Wan is often cited by papers focused on Advanced Photocatalysis Techniques (10 papers), Electrochemical sensors and biosensors (9 papers) and Electrochemical Analysis and Applications (8 papers). Jun Wan collaborates with scholars based in China, Australia and Singapore. Jun Wan's co-authors include Jian Xu, Changsheng Guo, Wei Meng, Ping Du, Changbo Zhou, Yi Luo, Dingming Wang, Yuan Zhang, Lei Wang and Jixiang Xu and has published in prestigious journals such as ACS Nano, The Science of The Total Environment and Analytical Biochemistry.

In The Last Decade

Jun Wan

37 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Wan China 15 304 292 197 178 178 37 918
Lixuan Zeng China 21 333 1.1× 426 1.5× 124 0.6× 180 1.0× 178 1.0× 51 1.3k
Xiaojun Hu China 18 236 0.8× 308 1.1× 189 1.0× 121 0.7× 236 1.3× 37 1.1k
Yingzi Lin China 17 141 0.5× 194 0.7× 212 1.1× 120 0.7× 150 0.8× 61 720
Yundang Wu China 19 203 0.7× 240 0.8× 362 1.8× 239 1.3× 111 0.6× 46 1.3k
Xin Yu China 20 288 0.9× 535 1.8× 243 1.2× 71 0.4× 197 1.1× 66 1.1k
Shengqi Zhang China 17 163 0.5× 285 1.0× 523 2.7× 218 1.2× 176 1.0× 32 962
Jiajun Wen China 21 498 1.6× 225 0.8× 98 0.5× 271 1.5× 307 1.7× 50 1.5k
Mattia Pierpaoli Poland 16 116 0.4× 198 0.7× 124 0.6× 143 0.8× 134 0.8× 64 834
Erick R. Bandala United States 5 305 1.0× 515 1.8× 335 1.7× 95 0.5× 216 1.2× 9 1.0k

Countries citing papers authored by Jun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wan. A scholar is included among the top collaborators of Jun Wan 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 Jun Wan. Jun Wan 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, Zhipeng, Huimin Mao, Jun Wan, et al.. (2025). Blocking Effect Retards Electron Release from Asymmetric Active Units for Selective Seawater Oxidation. ACS Nano. 19(9). 9070–9080. 8 indexed citations
2.
Wan, Jun, et al.. (2025). Dynamic spatial spillover effects of financial agglomeration on CO2 emissions: the case of China. Humanities and Social Sciences Communications. 12(1). 4 indexed citations
3.
Dai, Jiayin, et al.. (2025). Two-dimensional materials for high-current-density seawater electrolysis. Green Chemistry. 27(29). 8755–8776. 6 indexed citations
4.
Bao, Kai, et al.. (2024). Preparation of Mn-doped sludge biochar and its catalytic activity to persulfate for phenol removal. Environmental Science and Pollution Research. 31(12). 18737–18749. 3 indexed citations
5.
Zhang, Yiran, et al.. (2023). In-situ Cu-loaded sludge biochar catalysts for oxidative degradation of bisphenol A from high-salinity wastewater. Journal of Cleaner Production. 427. 139334–139334. 25 indexed citations
6.
Yin, Yajie, et al.. (2022). Efficient degradation of phenol with high salinity wastewater by catalytic persulfate activation using chitosan biochar. Reaction Kinetics Mechanisms and Catalysis. 135(1). 425–439. 4 indexed citations
7.
Bao, Kai, et al.. (2022). Persulfate oxidation enhanced extraction to improve the removal of high concentration phenol wastewater. Environmental Science Water Research & Technology. 8(5). 981–997. 8 indexed citations
8.
Xu, Chengcheng, et al.. (2020). Preparation of CuSe-PDA/g-C3N4 and its visible-light photocatalytic performance to dye degradation. Environmental Science and Pollution Research. 28(3). 3465–3474. 14 indexed citations
9.
Liu, Yanan, et al.. (2019). Polythiophene-tungsten selenide/nitrogen-doped graphene oxide nanocomposite for visible light-driven photocatalysis. Journal of Nanoparticle Research. 21(10). 9 indexed citations
10.
Liu, Yanan, et al.. (2018). Novel magnetically separable Fe3O4–WSe2/NG photocatalysts: synthesis and photocatalytic performance under visible-light irradiation. New Journal of Chemistry. 42(11). 8914–8923. 18 indexed citations
11.
Fan, Juntao, Elena Semenzin, Wei Meng, et al.. (2015). Ecological status classification of the Taizi River Basin, China: a comparison of integrated risk assessment approaches. Environmental Science and Pollution Research. 22(19). 14738–14754. 15 indexed citations
12.
Bai, Yangwei, Wei Meng, Jian Xu, et al.. (2014). Occurrence, Distribution, Environmental Risk Assessment and Source Apportionment of Polycyclic Aromatic Hydrocarbons (PAHs) in Water and Sediments of the Liaohe River Basin, China. Bulletin of Environmental Contamination and Toxicology. 93(6). 744–751. 48 indexed citations
13.
Xu, Jian, Yuan Zhang, Changbo Zhou, et al.. (2014). Distribution, sources and composition of antibiotics in sediment, overlying water and pore water from Taihu Lake, China. The Science of The Total Environment. 497-498. 267–273. 245 indexed citations
14.
Wan, Jun, et al.. (2014). Simple method for preparing methyl parathion sensor based on nanoporous gold/MWCNTs electrodes. International Journal of Environmental & Analytical Chemistry. 94(2). 183–193. 4 indexed citations
15.
Wan, Jun, Ze Wang, Zhijie Li, Huiling Duan, & Hezhong Yuan. (2013). Critical velocity in phosphorus exchange processes across the sediment-water interface. Journal of Environmental Sciences. 25(10). 1966–1971. 8 indexed citations
16.
Wan, Jun, et al.. (2012). Nonenzymatic H2O2 Sensor Based on Pt Nanoflower Electrode. Journal of Cluster Science. 23(4). 1061–1068. 25 indexed citations
17.
Wan, Jun, et al.. (2011). Distribution of Bioavailable Phosphorus Between Overlying Water and SPM under Abrupt Expansion Condition. Journal of Hydrodynamics. 23(3). 398–406. 8 indexed citations
18.
Wan, Jun, Ze Wang, & Hezhong Yuan. (2010). Characteristics of phosphorus fractionated from the sediment resuspension in abrupt expansion flow experiments. Journal of Environmental Sciences. 22(10). 1519–1526. 9 indexed citations
20.
Wan, Jun. (2007). Heavy metals and pollution assessment in surface sediments of Bohai Bay. Haiyang kexue. 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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