Geonhee Lee

3.0k total citations · 1 hit paper
53 papers, 2.3k citations indexed

About

Geonhee Lee is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Geonhee Lee has authored 53 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 17 papers in Electrical and Electronic Engineering and 16 papers in Biomedical Engineering. Recurrent topics in Geonhee Lee's work include Gas Sensing Nanomaterials and Sensors (9 papers), Graphene research and applications (7 papers) and Catalytic Processes in Materials Science (5 papers). Geonhee Lee is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (9 papers), Graphene research and applications (7 papers) and Catalytic Processes in Materials Science (5 papers). Geonhee Lee collaborates with scholars based in South Korea, United States and Vietnam. Geonhee Lee's co-authors include Jeong‐O Lee, Minsuk Choi, Bum‐Tae Kim, Edmond Changkyun Park, Seung Il Kim, Daeui Park, Seung-Hwa Baek, Sangmi Jun, Hong Gi Kim and Keun Bon Ku and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and ACS Nano.

In The Last Decade

Geonhee Lee

46 papers receiving 2.2k citations

Hit Papers

Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) ... 2020 2026 2022 2024 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geonhee Lee South Korea 16 1.2k 967 853 580 352 53 2.3k
Hao Xu China 28 1.3k 1.1× 284 0.3× 821 1.0× 574 1.0× 361 1.0× 107 2.5k
Kang Shao China 24 852 0.7× 141 0.1× 735 0.9× 1.2k 2.1× 454 1.3× 66 2.3k
Amir Farokh Payam United Kingdom 17 493 0.4× 190 0.2× 266 0.3× 256 0.4× 364 1.0× 68 1.4k
Qiang Zhu China 21 415 0.4× 36 0.0× 657 0.8× 229 0.4× 362 1.0× 57 1.3k
Shiv Govind Singh India 30 1.1k 1.0× 153 0.2× 658 0.8× 352 0.6× 1.5k 4.3× 184 2.8k
Hikaru Saito Japan 24 229 0.2× 90 0.1× 346 0.4× 498 0.9× 277 0.8× 118 1.9k
Xiaoxia Wang China 31 1.4k 1.2× 298 0.3× 410 0.5× 2.1k 3.6× 3.1k 8.9× 145 4.6k
Xin Yang China 24 466 0.4× 28 0.0× 362 0.4× 773 1.3× 1.0k 2.9× 103 2.4k
Jian Ni China 34 444 0.4× 64 0.1× 151 0.2× 1.9k 3.2× 2.4k 6.9× 167 3.5k
Xiaoxue Li China 22 307 0.3× 65 0.1× 222 0.3× 499 0.9× 423 1.2× 98 1.6k

Countries citing papers authored by Geonhee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Geonhee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geonhee Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Geonhee Lee. A scholar is included among the top collaborators of Geonhee Lee 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 Geonhee Lee. Geonhee Lee 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
2.
Jung, Jun-Young, Geonhee Lee, Sunwoo Lee, et al.. (2025). Flexible porous PDMS–CNT frameworks with flash-decorated Pd nanoparticles for high-performance hydrogen sensing. Journal of Materials Chemistry C. 13(33). 17278–17288.
3.
Khan, Asma, et al.. (2025). Deep Learning Approaches for Continuous Sign Language Recognition: A Comprehensive Review. IEEE Access. 13. 55524–55544. 2 indexed citations
4.
Ladikos, Alexander, Yiping Li, Geonhee Lee, et al.. (2025). SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation. Medical Image Analysis. 105. 103674–103674. 1 indexed citations
5.
Lee, Geonhee, et al.. (2024). A hybrid approach for vision-based structural displacement measurement using transforming model prediction and KLT. Mechanical Systems and Signal Processing. 223. 111866–111866. 12 indexed citations
6.
Lee, Geonhee, et al.. (2024). BIC-LoRa: Bits in Chirp Shapes to Boost Throughput in LoRa. 237–248.
7.
Choi, Myungwoo, Geonhee Lee, Yea‐Lee Lee, et al.. (2024). Transferable, highly crystalline covellite membrane for multifunctional thermoelectric systems. InfoMat. 6(11). 8 indexed citations
8.
Lee, Geonhee, et al.. (2024). Slot-Size Adaptation and Utility-Based Packet Aggregation for IEEE 802.15.4e Time-Slotted Communication Networks. IEEE Internet of Things Journal. 11(9). 16382–16397. 2 indexed citations
9.
Lee, Geonhee, Donghwi Cho, Jae‐Min Myoung, et al.. (2023). Ultrathin Metal Film on Graphene for Percolation‐Threshold‐Limited Thermal Emissivity Control. Advanced Materials. 35(38). e2301227–e2301227. 24 indexed citations
10.
Seo, Giwan, Geonhee Lee, Wooyoung Kim, et al.. (2023). Ultrasensitive biosensing platform for Mycobacterium tuberculosis detection based on functionalized graphene devices. Frontiers in Bioengineering and Biotechnology. 11. 1313494–1313494. 5 indexed citations
11.
Lee, Wonki, Jungtae Nam, Geonhee Lee, et al.. (2022). Single process of pulsed wire discharge for defect healing and reduction of graphene oxide. Carbon. 201. 1184–1192. 5 indexed citations
12.
Lee, Geonhee, et al.. (2022). Electrochemical Transparency of Graphene. ACS Nano. 16(6). 9278–9286. 19 indexed citations
13.
Lee, Geonhee, et al.. (2021). Reinforcement learning-based dynamic obstacle avoidance and integration of path planning. Intelligent Service Robotics. 14(5). 663–677. 48 indexed citations
14.
Lee, Haeun, Min-Soo Kang, Daewoong Jung, et al.. (2021). A neural network model for free-falling condensation heat transfer in the presence of non-condensable gases. International Journal of Thermal Sciences. 171. 107202–107202. 35 indexed citations
15.
Lee, Geonhee, et al.. (2020). Path Tracking with Nonlinear Model Predictive Control for Differential Drive Wheeled Robot. The Journal of Korea Robotics Society. 15(3). 277–285. 2 indexed citations
16.
Jang, A‐Rang, et al.. (2020). Phase-dependent gas sensitivity of MoS 2 chemical sensors investigated with phase-locked MoS 2. Nanotechnology. 31(22). 225504–225504. 13 indexed citations
17.
Lee, Geonhee, Chihyun Park, & Jaegyoon Ahn. (2019). Novel deep learning model for more accurate prediction of drug-drug interaction effects. BMC Bioinformatics. 20(1). 415–415. 106 indexed citations
18.
Lee, Geonhee, Wonki Lee, Sanghee Nah, et al.. (2018). Solution-processable method for producing high-quality reduced graphene oxide displaying ‘self-catalytic healing’. Carbon. 141. 774–781. 18 indexed citations
19.
Lee, Geonhee, et al.. (2018). Life Fatigue Prediction of an Accumulator Composed of Bladder and Housing. Journal of the Korean Society of Manufacturing Process Engineers. 17(5). 58–63. 1 indexed citations
20.
Lee, Geonhee, et al.. (2013). The Effects of Exercise Programs on Genu Varum Persons. Journal of The Korean Society of Integrative Medicine. 1(1). 87–96. 2 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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