Qin Jin
- Statistics and Probability top 0.2%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Finance top 5%
- Economics and Econometrics top 5%
- Co-authors
- Jerry LawlessTanja SchultzAlex WaibelYueqiang ShangJiří NavrátilW.D. AndrewsArthur R. TothAlan W. Black
- Topics
- Speech Recognition and Synthesis (27 papers)Speech and Audio Processing (21 papers)Music and Audio Processing (18 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringThe Annals of StatisticsEuropean Journal of Medicinal Chemistry
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Qin Jin
47 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Statistics and Probability 996
- Artificial Intelligence 711
- Signal Processing 444
- Finance 189
- Economics and Econometrics 155
Countries citing papers authored by Qin Jin
This map shows the geographic impact of Qin 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 Qin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Jin more than expected).
Fields of papers citing papers by Qin Jin
This network shows the impact of papers produced by Qin 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 Qin Jin. The network helps show where Qin Jin may publish in the future.
Co-authorship network of co-authors of Qin Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Qin Jin. A scholar is included among the top collaborators of Qin Jin 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 Qin Jin. Qin Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 1 | |
| 8 | Informedia@TRECVID 2011: Surveillance Event Detection. | 4 |
| 9 | 12 | |
| 10 | Modeling Prosody for Speaker Recognition: Why Estimating Pitch May Be a Red Herring | 1 |
| 11 | 10 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 65 | |
| 15 | 15 | |
| 16 | 13 | |
| 17 | 10 | |
| 18 | 5 | |
| 19 | A na ve de-lambing method for speaker identification. | 3 |
| 20 | Empirical Likelihood and General Estimating Equationsbreakdown → | 1156 |
About Qin Jin
Qin Jin is a scholar working on Signal Processing, Artificial Intelligence and Management Science and Operations Research, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (27 papers), Speech and Audio Processing (21 papers) and Music and Audio Processing (18 papers). The work is most often cited by research in Statistics and Probability (996 citations), Signal Processing (444 citations) and Artificial Intelligence (711 citations). Qin Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jerry Lawless, Tanja Schultz, Alex Waibel, Yueqiang Shang, Jiří Navrátil, W.D. Andrews, Arthur R. Toth, Alan W. Black, Kornel Laskowski and Barbara Peskin. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, The Annals of Statistics and European Journal of Medicinal Chemistry.
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.