Junyeong An

1.5k total citations
36 papers, 1.2k citations indexed

About

Junyeong An is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Junyeong An has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Environmental Engineering, 29 papers in Electrical and Electronic Engineering and 21 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Junyeong An's work include Microbial Fuel Cells and Bioremediation (32 papers), Electrochemical sensors and biosensors (27 papers) and Supercapacitor Materials and Fabrication (21 papers). Junyeong An is often cited by papers focused on Microbial Fuel Cells and Bioremediation (32 papers), Electrochemical sensors and biosensors (27 papers) and Supercapacitor Materials and Fabrication (21 papers). Junyeong An collaborates with scholars based in South Korea, Canada and United States. Junyeong An's co-authors include In Seop Chang, Hyung‐Sool Lee, Byung Chul Kim, Jae Kyung Jang, Taeyoung Kim, How Yong Ng, Daehee Kim, Hongrae Jeon, Bruce E. Rittmann and Hodon Ryu and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Journal of Power Sources.

In The Last Decade

Junyeong An

35 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
Junyeong An South Korea 23 1.1k 836 509 154 150 36 1.2k
Manaswini Behera India 20 1.2k 1.1× 873 1.0× 584 1.1× 234 1.5× 154 1.0× 54 1.4k
He Lee China 9 1.1k 1.0× 899 1.1× 517 1.0× 147 1.0× 83 0.6× 11 1.2k
Grzegorz Pasternak Poland 16 824 0.8× 611 0.7× 366 0.7× 174 1.1× 98 0.7× 39 1.0k
Folusho F. Ajayi South Korea 12 1.1k 1.0× 879 1.1× 530 1.0× 289 1.9× 99 0.7× 12 1.3k
Ala’a Ragab Saudi Arabia 7 1.2k 1.1× 639 0.8× 324 0.6× 245 1.6× 186 1.2× 8 1.4k
Ramnarayanan Ramanathan United States 4 1.1k 1.1× 968 1.2× 625 1.2× 159 1.0× 86 0.6× 5 1.3k
Manju Manuel Canada 12 682 0.6× 451 0.5× 331 0.7× 201 1.3× 151 1.0× 18 861
Lijiao Ren United States 11 636 0.6× 430 0.5× 265 0.5× 172 1.1× 134 0.9× 12 768
Rachel C. Wagner United States 8 750 0.7× 464 0.6× 290 0.6× 176 1.1× 120 0.8× 10 862
Mohammad Mahdi Mardanpour Iran 17 702 0.7× 537 0.6× 304 0.6× 162 1.1× 53 0.4× 31 885

Countries citing papers authored by Junyeong An

Since Specialization
Citations

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

Fields of papers citing papers by Junyeong An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyeong An

This figure shows the co-authorship network connecting the top 25 collaborators of Junyeong An. A scholar is included among the top collaborators of Junyeong An 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 Junyeong An. Junyeong An 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.
An, Junyeong, et al.. (2023). Decision support algorithm for efficient environmental impact assessments: Focusing on aquatic environment assessment in South Korea. Environmental Impact Assessment Review. 100. 107067–107067. 2 indexed citations
2.
3.
An, Junyeong, Byoung Kwon Lee, Byong‐Hun Jeon, & Min-Kyu Ji. (2021). A Management Plan of Wastewater Sludge to Reduce the Exposure of Microplastics to the Ecosystem. Clean Technology. 27(1). 1–8.
4.
An, Junyeong, Yaohuan Gao, & Hyung‐Sool Lee. (2019). Induction of cathodic voltage reversal and hydrogen peroxide synthesis in a serially stacked microbial fuel cell. Journal of Environmental Management. 241. 84–90. 11 indexed citations
5.
6.
Hussain, Abid, et al.. (2018). Hydrogen peroxide production in a pilot-scale microbial electrolysis cell. Biotechnology Reports. 19. e00276–e00276. 41 indexed citations
7.
Lee, Yoo Seok, Junyeong An, Byung Chul Kim, & In Seop Chang. (2017). Serially Connectable Sediment Microbial Fuel Cells using Dipole Graphite Solids and Voltage Reversal Suppression. Energy Technology. 5(11). 1946–1952. 7 indexed citations
8.
Kim, Taeyoung, et al.. (2016). pH-dependent ammonia removal pathways in microbial fuel cell system. Bioresource Technology. 215. 290–295. 37 indexed citations
9.
Kim, Jisu, Byung Chul Kim, Junyeong An, Yoo Seok Lee, & In Seop Chang. (2016). Development of anode zone using dual-anode system to reduce organic matter crossover in membraneless microbial fuel cells. Bioresource Technology. 213. 140–145. 37 indexed citations
10.
An, Junyeong, et al.. (2015). Characterization and optimization of cathodic conditions for H 2 O 2 synthesis in microbial electrochemical cells. Bioresource Technology. 195. 31–36. 49 indexed citations
11.
Kim, Byung Chul, Junyeong An, Deby Fapyane, & In Seop Chang. (2015). Bioelectronic platforms for optimal bio-anode of bio-electrochemical systems: From nano- to macro scopes. Bioresource Technology. 195. 2–13. 30 indexed citations
12.
Kim, Taeyoung, Junyeong An, Jae Kyung Jang, & In Seop Chang. (2015). Coupling of anaerobic digester and microbial fuel cell for COD removal and ammonia recovery. Bioresource Technology. 195. 217–222. 62 indexed citations
13.
Lee, Yoo Seok, et al.. (2015). Increased Power in Sediment Microbial Fuel Cell: Facilitated Mass Transfer via a Water-Layer Anode Embedded in Sediment. PLoS ONE. 10(12). e0145430–e0145430. 15 indexed citations
14.
15.
Gao, Yaohuan, Junyeong An, Hodon Ryu, & Hyung‐Sool Lee. (2014). Microbial Fuel Cells as Discontinuous Portable Power Sources: Syntropic Interactions with Anode‐Respiring Bacteria. ChemSusChem. 7(4). 1026–1029. 18 indexed citations
16.
An, Junyeong, Byung Chul Kim, Jae Kyung Jang, Hyung‐Sool Lee, & In Seop Chang. (2014). New architecture for modulization of membraneless and single-chambered microbial fuel cell using a bipolar plate-electrode assembly (BEA). Biosensors and Bioelectronics. 59. 28–34. 35 indexed citations
17.
An, Junyeong, et al.. (2012). Comparison in performance of sediment microbial fuel cells according to depth of embedded anode. Bioresource Technology. 127. 138–142. 80 indexed citations
18.
Moon, Hyunsoo, Phuc Thi Ha, Junyeong An, et al.. (2011). Interface resistances of anion exchange membranes in microbial fuel cells with low ionic strength. Biosensors and Bioelectronics. 26(7). 3266–3271. 32 indexed citations
19.
An, Junyeong, et al.. (2010). Determination of effects of turbulence flow in a cathode environment on electricity generation using a tidal mud-based cylindrical-type sediment microbial fuel cell. Journal of Environmental Management. 91(12). 2478–2482. 20 indexed citations
20.
An, Junyeong, Hyunsoo Moon, & In Seop Chang. (2010). Multiphase Electrode Microbial Fuel Cell System that Simultaneously Converts Organics Coexisting in Water and Sediment phases into Electricity. Environmental Science & Technology. 44(18). 7145–7150. 14 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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