Geli Fei

1.0k total citations
11 papers, 399 citations indexed

About

Geli Fei is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Geli Fei has authored 11 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Geli Fei's work include Text and Document Classification Technologies (6 papers), Advanced Text Analysis Techniques (5 papers) and Spam and Phishing Detection (4 papers). Geli Fei is often cited by papers focused on Text and Document Classification Technologies (6 papers), Advanced Text Analysis Techniques (5 papers) and Spam and Phishing Detection (4 papers). Geli Fei collaborates with scholars based in United States and China. Geli Fei's co-authors include Bing Liu, Bing Liu, Shuai Wang, Arjun Mukherjee, Malú Castellanos, Riddhiman Ghosh, Meichun Hsu, Jidong Shao, Huayi Li and Weixiang Shao and has published in prestigious journals such as International Conference on Computational Linguistics and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Geli Fei

11 papers receiving 384 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Geli Fei United States	10	318	187	72	63	46	11	399
Sneha Kudugunta India	4	192 0.6×	215 1.1×	149 2.1×	117 1.9×	124 2.7×	7	384
Weixiang Shao United States	10	242 0.8×	134 0.7×	34 0.5×	42 0.7×	37 0.8×	15	383
Putra Wanda Indonesia	9	120 0.4×	124 0.7×	50 0.7×	116 1.8×	58 1.3×	25	271
Geetha Jagannathan United States	7	428 1.3×	94 0.5×	75 1.0×	43 0.7×	27 0.6×	11	485
Yaqiong Qiao China	9	140 0.4×	69 0.4×	20 0.3×	31 0.5×	25 0.5×	33	246
Pawan Kumar Verma India	7	119 0.4×	200 1.1×	167 2.3×	46 0.7×	73 1.6×	21	302
Zhi Xu United States	10	109 0.3×	77 0.4×	32 0.4×	42 0.7×	75 1.6×	22	261
Shahrzad Zargari United Kingdom	7	210 0.7×	142 0.8×	114 1.6×	154 2.4×	136 3.0×	13	338
C. Valliyammai India	10	102 0.3×	185 1.0×	72 1.0×	156 2.5×	54 1.2×	43	324

Countries citing papers authored by Geli Fei

Since Specialization

Citations

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

Fields of papers citing papers by Geli Fei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geli Fei

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

All Works

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11 of 11 papers shown

1.

Fei, Geli, Arjun Mukherjee, Bing Liu, et al.. (2021). Exploiting Burstiness in Reviews for Review Spammer Detection. Proceedings of the International AAAI Conference on Web and Social Media. 7(1). 175–184. 61 indexed citations

2.

Wang, Shuai, Guangyi Lv, Sahisnu Mazumder, Geli Fei, & Bing Liu. (2018). Lifelong Learning Memory Networks for Aspect Sentiment Classification. 861–870. 18 indexed citations

3.

Li, Huayi, Geli Fei, Shuai Wang, et al.. (2017). Bimodal Distribution and Co-Bursting in Review Spam Detection. 1063–1072. 94 indexed citations

4.

Fei, Geli, Shuai Wang, & Bing Liu. (2016). Learning Cumulatively to Become More Knowledgeable. 1565–1574. 50 indexed citations

5.

Mahmud, Jalal, Geli Fei, Anbang Xu, Aditya Pal, & Michelle X. Zhou. (2016). Predicting Attitude and Actions of Twitter Users. 2–6. 10 indexed citations

6.

Chen, Zhiyuan, et al.. (2016). Targeted Topic Modeling for Focused Analysis. 1235–1244. 25 indexed citations

7.

Fei, Geli & Bing Liu. (2016). Breaking the Closed World Assumption in Text Classification. 79 indexed citations

8.

Fei, Geli & Bing Liu. (2015). Social Media Text Classification under Negative Covariate Shift. 19 indexed citations

9.

Fei, Geli, Zhiyuan Chen, & Bing Liu. (2014). Review Topic Discovery with Phrases using the Pólya Urn Model. 667–676. 13 indexed citations

10.

Fei, Geli, Bing Liu, Meichun Hsu, Malú Castellanos, & Riddhiman Ghosh. (2012). A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining. International Conference on Computational Linguistics. 309–318. 29 indexed citations

11.

Wang, Huabin, et al.. (2010). Research on Transfer Learning Approach for Text Categorization. 18. 418–422. 1 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.

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