Hankwon Lim
About
Hankwon Lim is a scholar working on Catalysis, Mechanical Engineering and Materials Chemistry.
According to data from OpenAlex, Hankwon Lim has authored 223 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Catalysis, 74 papers in Mechanical Engineering and 66 papers in Materials Chemistry. Recurrent topics in Hankwon Lim's work include Catalysts for Methane Reforming (69 papers), Hybrid Renewable Energy Systems (60 papers) and Carbon Dioxide Capture Technologies (54 papers). Hankwon Lim is often cited by papers focused on Catalysts for Methane Reforming (69 papers), Hybrid Renewable Energy Systems (60 papers) and Carbon Dioxide Capture Technologies (54 papers). Hankwon Lim collaborates with scholars based in South Korea, United States and Oman. Hankwon Lim's co-authors include S. Shiva Kumar, Boreum Lee, Hyunjun Lee, Manhee Byun, Heehyang Kim, Dongjun Lim, Boris Brigljević, Changgwon Choe, Ayeon Kim and Shin‐Kun Ryi and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.
In The Last Decade
Hankwon Lim
213 papers receiving 6.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hankwon Lim South Korea | 43 | 2.3k | 2.1k | 1.9k | 1.7k | 1.7k | 223 | 6.6k | ||
| Canan Acar Canada | 27 | 2.6k 1.1× | 1.2k 0.6× | 2.4k 1.2× | 2.1k 1.2× | 2.5k 1.5× | 49 | 7.0k | ||
| Andrea Lanzini Italy | 54 | 3.1k 1.4× | 1.7k 0.8× | 1.4k 0.7× | 2.4k 1.4× | 1.4k 0.8× | 181 | 6.8k | ||
| Luis M. Gandía Spain | 45 | 3.3k 1.5× | 1.9k 0.9× | 1.1k 0.6× | 1.3k 0.7× | 1.3k 0.8× | 135 | 7.2k | ||
| Yusuf Biçer Qatar | 43 | 1.1k 0.5× | 953 0.5× | 1.5k 0.8× | 1.5k 0.8× | 1.8k 1.1× | 202 | 5.9k | ||
| Seyed Ehsan Hosseini Malaysia | 39 | 1.5k 0.7× | 682 0.3× | 1.3k 0.7× | 1.7k 1.0× | 1.7k 1.0× | 95 | 7.1k | ||
| Massimo Santarelli Italy | 60 | 4.2k 1.9× | 2.1k 1.0× | 3.0k 1.5× | 4.5k 2.6× | 2.2k 1.3× | 312 | 10.4k | ||
| Thomas Grube Germany | 34 | 1.2k 0.5× | 828 0.4× | 2.7k 1.4× | 2.3k 1.3× | 999 0.6× | 226 | 5.2k | ||
| H. Spliethoff Germany | 56 | 2.1k 0.9× | 1.4k 0.7× | 1.6k 0.8× | 1.7k 1.0× | 1.7k 1.0× | 385 | 13.1k | ||
| Thomas Kolb Germany | 28 | 1.2k 0.5× | 1.4k 0.7× | 1.3k 0.7× | 975 0.6× | 512 0.3× | 165 | 4.2k | ||
| Amgad Elgowainy United States | 42 | 953 0.4× | 606 0.3× | 1.3k 0.7× | 1.6k 0.9× | 1.3k 0.8× | 104 | 5.1k |
Countries citing papers authored by Hankwon Lim
Since
Specialization
Citations
This map shows the geographic impact of Hankwon Lim'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 Hankwon Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hankwon Lim more than expected).
Fields of papers citing papers by Hankwon Lim
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Hankwon Lim. 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 Hankwon Lim. The network helps show where Hankwon Lim may publish in the future.
Co-authorship network of co-authors of Hankwon Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Hankwon Lim. A scholar is included among the top collaborators of Hankwon Lim 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 Hankwon Lim. Hankwon Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kim, Heehyang, et al.. (2025). Design consideration with dividing wall column for production of renewable olefins with economic, environmental, energy, and exergy (4Es) criteria. Journal of Cleaner Production. 501. 145292–145292.
2.
Kim, Heehyang, et al.. (2024). Laboratory-scale plastic upcycling and green growth: Evaluating the upcycling of plastic waste into carbon nanotubes from economic and environmental aspects. Chemical Engineering Journal. 495. 153300–153300.
3.
Chaniago, Yus Donald, et al.. (2024). Techno-economic ionic liquid-based capturing, electrochemical reduction, and hydrogenation of carbon dioxide in the simultaneous production of formic acid and biomethane. Journal of Cleaner Production. 446. 141211–141211.
4.
Ghadi, Ariyan Zare, et al.. (2024). Highly accurate heat release rate marker detection in NH3–CH4 cofiring through machine learning and domain knowledge-based selection integration. International Journal of Hydrogen Energy. 80. 1223–1233.
5.
Ghadi, Ariyan Zare & Hankwon Lim. (2024). Numerical investigation of ammonia-propane cofiring characteristics utilizing air and hydrogen peroxide as oxidizers. Journal of the Energy Institute. 117. 101817–101817.
6.
Andika, Riezqa, et al.. (2024). Reducing data requirement for accurate photovoltaic power prediction using hybrid machine learning-physical model on diverse dataset. Solar Energy. 279. 112814–112814.
7.
Choe, Changgwon, Junaid Haider, Muhammad Abdul Qyyum, et al.. (2024). A feasibility study of green hydrogen liquefaction for hydrogen refueling station: Multi-criteria based integrative assessment. Journal of Cleaner Production. 449. 141699–141699.
8.
Chaniago, Yus Donald, et al.. (2024). Design and optimization of an onboard boil-off gas re-liquefaction process under different weather-related scenarios with machine learning predictions. Energy. 293. 130674–130674.
9.
Choe, Changgwon, Junaid Haider, Rashid Al Abri, et al.. (2023). Development and modification of large-scale hydrogen liquefaction process empowered by LNG cold energy: A feasibility study. Applied Energy. 351. 121893–121893.
10.
Choe, Changgwon, Heehyang Kim, & Hankwon Lim. (2023). Feasibility study of power-to-gas as simultaneous renewable energy storage and CO2 utilization: Direction toward economic viability of synthetic methane production. Sustainable Energy Technologies and Assessments. 57. 103261–103261.
11.
Kim, Ayeon, Heehyang Kim, Yus Donald Chaniago, & Hankwon Lim. (2023). Carbon dioxide removal from the oceans: Carbon dioxide emission and techno-economic analyses of producing renewable synthetic methane. Sustainable Production and Consumption. 41. 21–35.
12.
Lee, Hyunjun, et al.. (2023). Finding the most suitable vehicle type for projected years using analytic hierarchy process integrated with economic and environmental aspects. Journal of Cleaner Production. 426. 139075–139075.
13.
Nagulapati, Vijay Mohan, et al.. (2023). Machine learning based fault detection and state of health estimation of proton exchange membrane fuel cells. Energy and AI. 12. 100237–100237.
14.
Kim, Heehyang, et al.. (2023). Novel propane dehydrogenation process design integrated with membrane reactor and solid oxide fuel cell: Economic and environmental aspects. Journal of environmental chemical engineering. 11(5). 110830–110830.
15.
Lim, Dongjun, et al.. (2023). Expansion and optimization of ammonia import to the Republic of Korea for electricity generation. Chemical Engineering Journal. 468. 143492–143492.
16.
Upadhyay, Mukesh, et al.. (2023). Anode analysis and modelling hydrodynamic behaviour of the multiphase flow field in circular PEM water electrolyzer. International Journal of Hydrogen Energy. 48(43). 16176–16183.
17.
Lee, Aejin, et al.. (2023). Extractive-dividing-wall column and multi-objective optimizations of green entrainer-based ultra-high-purity recovery of methyl di glycol and N-Methyl-2-Pyrrolidone. Separation and Purification Technology. 324. 124533–124533.
18.
Choe, Changgwon, et al.. (2023). Mitigating climate change for negative CO2 emission via syngas methanation: Techno-economic and life-cycle assessments of renewable methane production. Renewable and Sustainable Energy Reviews. 185. 113628–113628.
19.
Lim, Dongjun, et al.. (2023). A deep learning-based framework for battery reusability verification: one-step state-of-health estimation of pack and constituent modules using a generative algorithm and graphical representation. Journal of Materials Chemistry A. 11(42). 22749–22759.
20.
Nagulapati, Vijay Mohan, et al.. (2021). A novel combined multi-battery dataset based approach for enhanced prediction accuracy of data driven prognostic models in capacity estimation of lithium ion batteries. Energy and AI. 5. 100089–100089.
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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