John Chen is a scholar working on Artificial Intelligence, Education and Media Technology.
According to data from OpenAlex, John Chen has authored 124 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 22 papers in Education and 18 papers in Media Technology. Recurrent topics in John Chen's work include Natural Language Processing Techniques (22 papers), Topic Modeling (20 papers) and Experimental Learning in Engineering (13 papers). John Chen is often cited by papers focused on Natural Language Processing Techniques (22 papers), Topic Modeling (20 papers) and Experimental Learning in Engineering (13 papers). John Chen collaborates with scholars based in United States, China and Canada. John Chen's co-authors include Dongping Fang, Yao Wang, Jiang Mei, Jérôme Vergne, Soma Nath Sapkota, György Hetényi, J. Nábělek, Heping Su, Bor‐Shouh Huang and Owen Rambow and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.
In The Last Decade
John Chen
104 papers
receiving
2.7k citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Underplating in the Himalaya-Tibet Collision Zone Revealed by the Hi-CLIMB Experiment
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).
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-authorship network of co-authors of John Chen
This figure shows the co-authorship network connecting the top 25 collaborators of John Chen.
A scholar is included among the top collaborators of John Chen 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 John Chen. John Chen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lord, Susan, Candice Stefanou, Michael J. Prince, John Chen, & Jonathan Stolk. (2020). Student Lifelong Learning Outcomes for Different Learning Environments. Papers on Engineering Education Repository (American Society for Engineering Education). 22.1334.1–22.1334.17.1 indexed citations
Sridhar, Vivek Kumar Rangarajan, et al.. (2014). A Framework for Translating SMS Messages. International Conference on Computational Linguistics. 974–983.2 indexed citations
15.
Chen, John, et al.. (2013). Multilingual web conferencing using speech-to-speech translation.. Conference of the International Speech Communication Association. 1861–1863.
16.
Sridhar, Vivek Kumar Rangarajan, et al.. (2013). Segmentation Strategies for Streaming Speech Translation. North American Chapter of the Association for Computational Linguistics. 230–238.35 indexed citations
17.
Sridhar, Vivek Kumar Rangarajan, et al.. (2013). Role of pausing in text-to-speech synthesis for simultaneous interpretation.. SSW. 7–11.2 indexed citations
18.
Srinivasan, Harish, John Chen, & Rohini K. Srihari. (2009). Cross document person name disambiguation using entity profiles.. Theory and applications of categories.7 indexed citations
19.
Bangalore, Srinivas, John Chen, & Owen Rambow. (2001). Impact of Quality and Quantity of Corpora on Stochastic Generation. Empirical Methods in Natural Language Processing.7 indexed citations
20.
Chen, John & K. Vijay‐Shanker. (2000). Automated Extraction of TAGs from the Penn Treebank. 65–76.49 indexed citations
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.