Yi Fang

1.4k citations
53 papers · 654 indexed · h-index 13
Topics
Topic Modeling (11 papers)Recommender Systems and Techniques (10 papers)Text and Document Classification Technologies (8 papers)

In The Last Decade

Yi Fang

48 papers receiving 618 citations

Peers

Yi Fang
Comparison fields: 5 of 77
  • Artificial Intelligence 396
  • Information Systems 281
  • Computer Vision and Pattern Recognition 98
  • Statistical and Nonlinear Physics 77
  • Sociology and Political Science 69
Replace Francesco Buccafurri with:
Francesco Buccafurri Italy
Marc H. Scholl Germany
Masashi Toyoda Japan
Sara Cohen Israel
Javier Artiles Spain
Nicholas Kolkin United States
Nadav Har’El Israel
Sang‐goo Lee South Korea
Yi Fang relative to Francesco Buccafurri Italy Francesco Buccafurri's profile →
Citations per field
00.5×1.5×
Francesco Buccafurri · 1×
Citations per year

Countries citing papers authored by Yi Fang

Since Specialization
Citations

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

Fields of papers citing papers by Yi Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Fang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 6
4 3
5 4
6 1
7 3
8 7
9 11
10 0
11 0
12 12
13 37
14 10
15 13
16
A Pattern Matching Approach to Streaming Slot Filling.
0
17 4
18 8
19
Purdue at TREC 2010 Entity Track: a Probabilistic Framework for Matching Types between Candidate and Target Entities
4
20 46

About Yi Fang

Yi Fang is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications, having authored 53 papers that have together received 654 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Recommender Systems and Techniques (10 papers) and Text and Document Classification Technologies (8 papers). The work is most often cited by research in Information Systems (281 citations), Artificial Intelligence (396 citations) and Transportation (47 citations). Yi Fang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Luo Si, Zhengtao Yu, Miao Jiang, Amir Pnueli, Benjamin Goldberg, Lenore D. Zuck, Dae Hoon Park, Mengwen Liu, Min Xie and Auroop R. Ganguly. Their work appears in journals such as Applied Energy, Expert Systems with Applications and IEEE Access.

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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