Changlong Jin
Impact in
- Orthodontics top 10%
- Dental materials and restorations
- General Dentistry top 10%
Papers in
-
- Biometric Identification and Security 8
- Data Management and Algorithms 2
-
- Forensic Fingerprint Detection Methods 6
- Co-authors
- Hakil Kim (10 shared papers)Hiroshi Kumagai (1 shared paper)Seicho Makihira (1 shared paper)Hiroshi Egusa (1 shared paper)Takashi Hamada (1 shared paper)Hiroki Nikawa (1 shared paper)Xuenan Cui (3 shared papers)Eunsoo Park (2 shared papers)
- Journals
- Marine Drugs (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)BioMed Research International (1 paper)Journal of Alloys and Compounds (1 paper)Journal of Oral Rehabilitation (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Changlong Jin
23 papers receiving 251 citations
Peers
Comparison fields: 5 of 83
- Orthodontics 50
- General Dentistry 10
- Oral Surgery 33
- Safety, Risk, Reliability and Quality 40
- Signal Processing 41
Countries citing papers authored by Changlong Jin
This map shows the geographic impact of Changlong Jin'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 Changlong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changlong Jin more than expected).
Fields of papers citing papers by Changlong Jin
This network shows the impact of papers produced by Changlong Jin. 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 Changlong Jin. The network helps show where Changlong Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Changlong Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 109 | |
| 2 | 2012 | 39 | |
| 3 | 2010 | 23 | |
| 4 | 2020 | 22 | |
| 5 | 2022 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2019 | 7 | |
| 8 | 2009 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2007 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2003 | 3 | |
| 16 | 2011 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2009 | 2 | |
| 20 | 2016 | 2 |
About Changlong Jin
Changlong Jin is a scholar working on Signal Processing, Safety Research, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 25 papers that have together received 268 indexed citations. Recurring topics across this work include Biometric Identification and Security (8 papers), Forensic Fingerprint Detection Methods (6 papers), User Authentication and Security Systems (4 papers), Fire Detection and Safety Systems (2 papers), Advanced Database Systems and Queries (2 papers), Data Management and Algorithms (2 papers), Digital Media Forensic Detection (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Orthodontics (50 citations), General Dentistry (10 citations), Oral Surgery (33 citations), Safety, Risk, Reliability and Quality (40 citations) and Signal Processing (41 citations). Changlong Jin has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Hakil Kim, Hiroshi Kumagai, Seicho Makihira, Hiroshi Egusa, Takashi Hamada, Hiroki Nikawa, Xuenan Cui, Eunsoo Park, Han Xie and Shouliang Zhao. Their work appears in journals such as Marine Drugs, IEEE Transactions on Intelligent Transportation Systems, BioMed Research International, Journal of Alloys and Compounds and Journal of Oral Rehabilitation.
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.