Lan Yi

3.3k total citations · 1 hit paper
12 papers, 1.6k citations indexed

About

Lan Yi is a scholar working on Information Systems, Oncology and Statistical and Nonlinear Physics. According to data from OpenAlex, Lan Yi has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Oncology and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Lan Yi's work include CAR-T cell therapy research (5 papers), Web Data Mining and Analysis (4 papers) and Spam and Phishing Detection (2 papers). Lan Yi is often cited by papers focused on CAR-T cell therapy research (5 papers), Web Data Mining and Analysis (4 papers) and Spam and Phishing Detection (2 papers). Lan Yi collaborates with scholars based in United States, Singapore and Norway. Lan Yi's co-authors include Bing Liu, Yi Zhao, Haitao Luo, Jingjia Liu, Jincheng Guo, Shuangsang Fang, Zhihao Wang, Zihao He, Yang Wu and Lei Kong and has published in prestigious journals such as Nucleic Acids Research, Blood and Blood Advances.

In The Last Decade

Lan Yi

12 papers receiving 1.6k citations

Hit Papers

KOBAS-i: intelligent prioritization and exploratory visua... 2021 2026 2022 2024 2021 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan Yi United States 8 590 300 278 275 223 12 1.6k
Johannes Köster Germany 17 1.6k 2.7× 309 1.0× 114 0.4× 368 1.3× 250 1.1× 44 2.5k
Mary Qu Yang United States 25 1.9k 3.2× 227 0.8× 67 0.2× 197 0.7× 319 1.4× 120 2.7k
Mohamed Abouelhoda Saudi Arabia 20 822 1.4× 388 1.3× 90 0.3× 98 0.4× 98 0.4× 72 1.6k
Tingting Liang China 22 406 0.7× 88 0.3× 287 1.0× 126 0.5× 105 0.5× 117 1.4k
Attila Gyenesei Hungary 21 450 0.8× 243 0.8× 118 0.4× 152 0.6× 141 0.6× 83 1.3k
B. F. Francis Ouellette Canada 23 2.1k 3.5× 237 0.8× 65 0.2× 234 0.9× 160 0.7× 57 2.7k
Prachi Shah United States 15 1.8k 3.0× 323 1.1× 76 0.3× 454 1.7× 162 0.7× 28 2.8k
D. B. Troup United States 7 2.2k 3.8× 313 1.0× 67 0.2× 261 0.9× 498 2.2× 9 2.9k
Tim Hulsen Netherlands 12 954 1.6× 146 0.5× 55 0.2× 146 0.5× 140 0.6× 28 1.9k
William J. Black United Kingdom 28 929 1.6× 329 1.1× 123 0.4× 59 0.2× 237 1.1× 93 2.6k

Countries citing papers authored by Lan Yi

Since Specialization
Citations

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

Fields of papers citing papers by Lan Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Yi

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

All Works

12 of 12 papers shown
1.
Buechner, Jochen, Stephan A. Grupp, Hidefumi Hiramatsu, et al.. (2021). Practical guidelines for monitoring and management of coagulopathy following tisagenlecleucel CAR T-cell therapy. Blood Advances. 5(2). 593–601. 39 indexed citations
2.
Bu, Dechao, Haitao Luo, Peipei Huo, et al.. (2021). KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis. Nucleic Acids Research. 49(W1). W317–W325. 1173 indexed citations breakdown →
4.
Grupp, Stephan A., Shannon L. Maude, Hidefumi Hiramatsu, et al.. (2017). Management of Coagulopathy Associated with CTL019 CAR T-Cell Therapy. Blood. 130. 1276–1276. 2 indexed citations
6.
Maude, Shannon L., Michael A. Pulsipher, Michael W. Boyer, et al.. (2016). Efficacy and Safety of CTL019 in the First US Phase II Multicenter Trial in Pediatric Relapsed/Refractory Acute Lymphoblastic Leukemia: Results of an Interim Analysis. Blood. 128(22). 2801–2801. 59 indexed citations
7.
Li, Na, et al.. (2016). Causes and nursing countermeasures in pediatric PICC catheter complications.. PubMed. 29(1 Suppl). 335–7. 4 indexed citations
8.
Yi, Lan & Bing Liu. (2003). Web page cleaning for web mining through feature weighting. International Joint Conference on Artificial Intelligence. 43–48. 51 indexed citations
9.
Yi, Lan, Bing Liu, & Xiaoli Li. (2003). Eliminating noisy information in Web pages for data mining. National University of Singapore. 296–305. 212 indexed citations
10.
Cong, Gao, Lan Yi, Bing Liu, & Ke Wang. (2002). Discovering Frequent Substructures from Hierarchical Semi-structured Data. 175–192. 22 indexed citations
11.
Liu, Bing, et al.. (2002). Visualizing web site comparisons. 2 indexed citations
12.
Yi, Lan, et al.. (2002). Visualizing web site comparisons. National University of Singapore. 693–703. 17 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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