Chang Jun Lee
- Biomedical Engineering top 10%
- Polymers and Plastics top 5%
- Mechanical Engineering top 10%
- Cognitive Neuroscience top 10%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Youn Tae KimEn Sup YoonA Young ChoiDogyun KimJiwon ParkSeon Jeong KimChangsoon ChoiHyeon Jun Sim
- Topics
- Fault Detection and Control Systems (12 papers)Risk and Safety Analysis (10 papers)Advanced Sensor and Energy Harvesting Materials (9 papers)
- Journals
- ACS NanoScientific ReportsEnergy
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Chang Jun Lee
48 papers receiving 803 citations
Peers
Comparison fields: 5 of 88
- Biomedical Engineering 413
- Polymers and Plastics 285
- Mechanical Engineering 186
- Cognitive Neuroscience 122
- Statistics, Probability and Uncertainty 116
Countries citing papers authored by Chang Jun Lee
This map shows the geographic impact of Chang Jun 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 Chang Jun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Jun Lee more than expected).
Fields of papers citing papers by Chang Jun Lee
This network shows the impact of papers produced by Chang Jun 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 Chang Jun Lee. The network helps show where Chang Jun Lee may publish in the future.
Co-authorship network of co-authors of Chang Jun Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Jun Lee. A scholar is included among the top collaborators of Chang Jun 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 Chang Jun Lee. Chang Jun Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | A Study on the Estimation Model of Liquid Evaporation Rate for Classification of Flammable Liquid Explosion Hazardous Area | 2 |
| 10 | 1 | |
| 11 | 88 | |
| 12 | 114 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | Operation Modes Classification of Chemical Processes for History Data-Based Fault Diagnosis Methods | 1 |
| 18 | 다축-다변량회귀분석 기법을 이용한 회분식 공정의 이상감지 및 통계적 제어 방법 | 1 |
| 19 | The Monitoring of Chemical Process using The Support Vector Machine | 4 |
| 20 | Fault Diagnosis Method based on Support Vector Machine | 1 |
About Chang Jun Lee
Chang Jun Lee is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Structural Biology, having authored 54 papers that have together received 840 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (12 papers), Risk and Safety Analysis (10 papers) and Advanced Sensor and Energy Harvesting Materials (9 papers). The work is most often cited by research in Polymers and Plastics (285 citations), Statistics, Probability and Uncertainty (116 citations) and Biomedical Engineering (413 citations). Chang Jun Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Youn Tae Kim, En Sup Yoon, A Young Choi, Dogyun Kim, Jiwon Park, Seon Jeong Kim, Changsoon Choi, Hyeon Jun Sim, Dongil Shin and Ray H. Baughman. Their work appears in journals such as ACS Nano, Scientific Reports and Energy.
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.