Jifan Chen

474 total citations
11 papers, 171 citations indexed

About

Jifan Chen is a scholar working on Artificial Intelligence, Information Systems and Strategy and Management. According to data from OpenAlex, Jifan Chen has authored 11 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Strategy and Management. Recurrent topics in Jifan Chen's work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (3 papers). Jifan Chen is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (3 papers). Jifan Chen collaborates with scholars based in United States and China. Jifan Chen's co-authors include Pengfei Liu, Xuanjing Huang, Xipeng Qiu, Qi Zhang, Greg Durrett, Eunsol Choi, Yaqian Zhou, Qi Zhang, Grace Kim and Lan Liu and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Jifan Chen

8 papers receiving 160 citations

Peers

Jifan Chen
Comparison fields: 5 of 20
  • Artificial Intelligence 164
  • Computer Vision and Pattern Recognition 45
  • Information Systems 18
  • Sociology and Political Science 12
  • Signal Processing 5
Replace Richard Yuanzhe Pang with:
Richard Yuanzhe Pang United States
Khalid Almubarak Saudi Arabia
Max Glockner Germany
Attapol Rutherford Thailand
Guillaume Wenzek Israel
Marzieh Saeidi United Kingdom
Andreas Rücklé Germany
Sohee Yang South Korea
Onur Çelebi Burundi
Sarguna Janani Padmanabhan United States
Richard Yuanzhe Pang United States View profile →
Citations per field, relative to Jifan Chen
Jifan Chen · 1×
Citations per year, relative to Jifan Chen
Jifan Chen · 1×

Countries citing papers authored by Jifan Chen

Since Specialization
Citations

This map shows the geographic impact of Jifan 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 Jifan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jifan Chen more than expected).

Fields of papers citing papers by Jifan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jifan 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 Jifan Chen. The network helps show where Jifan Chen may publish in the future.

Co-authorship network of co-authors of Jifan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jifan Chen. A scholar is included among the top collaborators of Jifan 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 Jifan Chen. Jifan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 4
2 0
3 17
4 3
5 6
6 0
7
How to learn (and how not to learn) multi-hop reasoning with memory networks
0
8 59
9 26
10 12
11 44

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.

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