John Chen
Impact in
- Geophysics top 2%
- earthquake and tectonic studies
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- Seismic Waves and Analysis
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
Papers in
- Architecture 13
- Engineering Education and Pedagogy 13
-
- Experimental Learning in Engineering 13
- Co-authors
- Yao WangDongping FangJérôme VergneJ. NábělekSoma Nath SapkotaGyörgy HetényiHeping SuBor‐Shouh Huang
- Journals
- Inorganic Chemistry (2 papers)ACS Nano (2 papers)Cortex (1 paper)Journal of Biomechanics (1 paper)Academic Radiology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
John Chen
104 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Geophysics 926
- Artificial Intelligence 593
- Architecture 21
- Biomaterials 144
- Computer Science Applications 42
Countries citing papers authored by John Chen
This map shows the geographic impact of John Chen'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 John Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Chen more than expected).
Fields of papers citing papers by John Chen
This network shows the impact of papers produced by John Chen. 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 John Chen. The network helps show where John Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside John Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2020 | 18 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 2 | |
| 9 | Negative Sampling in Semi-Supervised learning | 2020 | 2 |
| 10 | Decaying momentum helps neural network training | 2019 | 3 |
| 11 | 2019 | 5 | |
| 12 | 2014 | 14 | |
| 13 | A Framework for Translating SMS Messages | 2014 | 2 |
| 14 | Multilingual web conferencing using speech-to-speech translation. | 2013 | 0 |
| 15 | Segmentation Strategies for Streaming Speech Translation | 2013 | 35 |
| 16 | Role of pausing in text-to-speech synthesis for simultaneous interpretation. | 2013 | 2 |
| 17 | Cross document person name disambiguation using entity profiles. | 2009 | 7 |
| 18 | 2009 | 73 | |
| 19 | Impact of Quality and Quantity of Corpora on Stochastic Generation | 2001 | 7 |
| 20 | Automated Extraction of TAGs from the Penn Treebank | 2000 | 49 |
About John Chen
John Chen is a scholar working on Architecture, Media Technology, Computer Science Applications, Safety Research and Artificial Intelligence, having authored 124 papers that have together received 2.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Topic Modeling (20 papers), Experimental Learning in Engineering (13 papers), Engineering Education and Pedagogy (13 papers), Grit, Self-Efficacy, and Motivation (12 papers), Innovative Teaching Methods (11 papers), Speech and dialogue systems (11 papers) and Career Development and Diversity (10 papers). The work is most often cited by research in Geophysics (926 citations), Artificial Intelligence (593 citations), Architecture (21 citations), Biomaterials (144 citations) and Computer Science Applications (42 citations). John Chen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yao Wang, Dongping Fang, Jérôme Vergne, J. Nábělek, Soma Nath Sapkota, György Hetényi, Heping Su, Bor‐Shouh Huang, Jiang Mei and Owen Rambow. Their work appears in journals such as Inorganic Chemistry, ACS Nano, Cortex, Journal of Biomechanics and Academic Radiology.
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.