Jun‐Hwe Cha

900 total citations
28 papers, 743 citations indexed

About

Jun‐Hwe Cha is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Jun‐Hwe Cha has authored 28 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 12 papers in Materials Chemistry and 9 papers in Polymers and Plastics. Recurrent topics in Jun‐Hwe Cha's work include Advanced Memory and Neural Computing (10 papers), Gas Sensing Nanomaterials and Sensors (6 papers) and Neuroscience and Neural Engineering (6 papers). Jun‐Hwe Cha is often cited by papers focused on Advanced Memory and Neural Computing (10 papers), Gas Sensing Nanomaterials and Sensors (6 papers) and Neuroscience and Neural Engineering (6 papers). Jun‐Hwe Cha collaborates with scholars based in South Korea, United States and Switzerland. Jun‐Hwe Cha's co-authors include Sung‐Yool Choi, Dong‐Ha Kim, Il‐Doo Kim, Ji‐Soo Jang, Ji‐Won Jung, Woonggi Hong, Seon‐Jin Choi, Won‐Tae Koo, Jungyeop Oh and Sang Yoon Yang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Jun‐Hwe Cha

24 papers receiving 726 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‐Hwe Cha South Korea 14 552 294 229 106 86 28 743
Suresh Kumar Garlapati India 12 582 1.1× 318 1.1× 289 1.3× 123 1.2× 31 0.4× 22 757
Shuming Duan China 14 554 1.0× 239 0.8× 234 1.0× 183 1.7× 86 1.0× 25 806
Shilong Zhao China 16 461 0.8× 498 1.7× 376 1.6× 138 1.3× 69 0.8× 32 1.0k
Gábor Mészáros Hungary 18 941 1.7× 317 1.1× 298 1.3× 85 0.8× 49 0.6× 52 1.2k
Cláudia Simão Spain 13 361 0.7× 306 1.0× 191 0.8× 92 0.9× 35 0.4× 28 691
Vaishnavi Krishnamurthi Australia 14 453 0.8× 458 1.6× 302 1.3× 88 0.8× 138 1.6× 26 932
Eoin K. McCarthy Ireland 14 438 0.8× 459 1.6× 195 0.9× 76 0.7× 119 1.4× 21 925
Alexander Vahl Germany 22 740 1.3× 502 1.7× 335 1.5× 93 0.9× 193 2.2× 55 1.1k
Fanfan Li China 16 426 0.8× 308 1.0× 117 0.5× 109 1.0× 19 0.2× 57 811
Meenakshi Annamalai India 8 430 0.8× 300 1.0× 143 0.6× 158 1.5× 55 0.6× 14 778

Countries citing papers authored by Jun‐Hwe Cha

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Hwe Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun‐Hwe Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Hwe Cha. A scholar is included among the top collaborators of Jun‐Hwe Cha 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‐Hwe Cha. Jun‐Hwe Cha 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.
Cha, Jun‐Hwe, Inseong Lee, Sungryul Yun, et al.. (2025). Selective and local flash-annealing for improvement in the contact characteristics of MoS 2 transistors. Nanoscale. 17(18). 11305–11315. 1 indexed citations
2.
Oh, Jungyeop, Sejin Lee, Jun‐Hwe Cha, et al.. (2025). Highly Reliable Bi2O2Se Dendritic Neuron Enabling Spatial-Temporal Signal Processing for Real-World Image Classification. ACS Nano. 19(1). 638–648.
3.
Cha, Jun‐Hwe, et al.. (2025). Millisecond Pulsed Light Annealing for Improving Performance of Top-Gate Self-Aligned a-IGZO TFT. IEEE Transactions on Electron Devices. 72(5). 2399–2405.
4.
Oh, Jungyeop, Sang‐Hun Lee, Sung-Kyu Kim, et al.. (2024). Ultrathin All‐Solid‐State MoS 2 ‐Based Electrolyte Gated Synaptic Transistor with Tunable Organic–Inorganic Hybrid Film. Advanced Science. 11(23). e2308847–e2308847. 19 indexed citations
5.
6.
Cha, Jun‐Hwe, Su‐Ho Cho, Dong‐Ha Kim, et al.. (2023). Flash‐Thermal Shock Synthesis of High‐Entropy Alloys Toward High‐Performance Water Splitting (Adv. Mater. 46/2023). Advanced Materials. 35(46). 3 indexed citations
7.
Oh, Jungyeop, Sung-Kyu Kim, Changhyeon Lee, et al.. (2023). Preventing Vanishing Gradient Problem of Hardware Neuromorphic System by Implementing Imidazole‐Based Memristive ReLU Activation Neuron. Advanced Materials. 35(24). e2300023–e2300023. 26 indexed citations
8.
Jeong, Han Beom, Jungyeop Oh, Woonggi Hong, et al.. (2023). A Highly Reliable Molybdenum Disulfide‐Based Synaptic Memristor Using a Copper Migration‐Controlled Structure. Small. 19(33). e2300223–e2300223. 22 indexed citations
9.
Cha, Jun‐Hwe, Su‐Ho Cho, Dong‐Ha Kim, et al.. (2023). Flash‐Thermal Shock Synthesis of High‐Entropy Alloys Toward High‐Performance Water Splitting. Advanced Materials. 35(46). e2305222–e2305222. 75 indexed citations
10.
Kim, Dong‐Ha, Jun‐Hwe Cha, Sanggyu Chong, et al.. (2023). Flash-Thermal Shock Synthesis of Single Atoms in Ambient Air. ACS Nano. 17(23). 23347–23358. 18 indexed citations
11.
Kim, Wha-Young, Dongjin Ko, Jun‐Hwe Cha, et al.. (2023). Demonstration of crystalline IGZO transistor with high thermal stability for memory applications. 1–2. 7 indexed citations
12.
Park, Cheolmin, Jun‐Hwe Cha, Woonggi Hong, et al.. (2022). Spatially isolated neutral excitons via clusters on trilayer MoS2. Nanoscale. 14(11). 4304–4311. 5 indexed citations
13.
Oh, Jungyeop, Sungkyu Kim, Junhwan Choi, et al.. (2022). Memristor‐Based Security Primitives Robust to Malicious Attacks for Highly Secure Neuromorphic Systems. SHILAP Revista de lepidopterología. 4(11). 16 indexed citations
14.
Cha, Jun‐Hwe, Byung Chul Jang, Jungyeop Oh, et al.. (2022). Highly Reliable Synaptic Cell Array Based on Organic–Inorganic Hybrid Bilayer Stack toward Precise Offline Learning. SHILAP Revista de lepidopterología. 4(6). 7 indexed citations
15.
Shin, Euichul, Dong‐Ha Kim, Jun‐Hwe Cha, et al.. (2022). Ultrafast Ambient-Air Exsolution on Metal Oxide via Momentary Photothermal Effect. ACS Nano. 16(11). 18133–18142. 24 indexed citations
16.
Kim, Dong‐Ha, Jun‐Hwe Cha, Ji‐Soo Jang, et al.. (2022). Flash-thermochemical engineering of phase and surface activity on metal oxides. Chem. 8(4). 1014–1033. 32 indexed citations
17.
Cha, Jun‐Hwe, Dong‐Ha Kim, Cheolmin Park, et al.. (2020). Low‐Thermal‐Budget Doping of 2D Materials in Ambient Air Exemplified by Synthesis of Boron‐Doped Reduced Graphene Oxide. Advanced Science. 7(7). 1903318–1903318. 24 indexed citations
18.
Cha, Jun‐Hwe, Sang Yoon Yang, Jungyeop Oh, et al.. (2020). Conductive-bridging random-access memories for emerging neuromorphic computing. Nanoscale. 12(27). 14339–14368. 47 indexed citations
19.
Hong, Woonggi, Sang Yoon Yang, Ho Jin Kim, et al.. (2018). Large‐Area CVD‐Grown MoS2 Driver Circuit Array for Flexible Organic Light‐Emitting Diode Display. Advanced Electronic Materials. 4(11). 38 indexed citations
20.
Koo, Won‐Tae, Jun‐Hwe Cha, Ji‐Won Jung, et al.. (2018). Few‐Layered WS2 Nanoplates Confined in Co, N‐Doped Hollow Carbon Nanocages: Abundant WS2 Edges for Highly Sensitive Gas Sensors. Advanced Functional Materials. 28(36). 131 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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