Latifur Khan

10.5k total citations · 1 hit paper
322 papers, 6.2k citations indexed

About

Latifur Khan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Latifur Khan has authored 322 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 220 papers in Artificial Intelligence, 102 papers in Computer Networks and Communications and 101 papers in Information Systems. Recurrent topics in Latifur Khan's work include Network Security and Intrusion Detection (65 papers), Anomaly Detection Techniques and Applications (61 papers) and Data Stream Mining Techniques (56 papers). Latifur Khan is often cited by papers focused on Network Security and Intrusion Detection (65 papers), Anomaly Detection Techniques and Applications (61 papers) and Data Stream Mining Techniques (56 papers). Latifur Khan collaborates with scholars based in United States, United Arab Emirates and China. Latifur Khan's co-authors include Bhavani Thuraisingham, Mohammad Mehedy Masud, Kevin W. Hamlen, Mamoun Awad, Ahsanul Haque, Swarup Chandra, Justin Sahs, Jiawei Han, Jing Gao and Zhuoyi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Access.

In The Last Decade

Latifur Khan

302 papers receiving 5.8k citations

Hit Papers

FUSION 2017 2026 2020 2023 2017 100 200 300
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.

  1. FUSION
    2017 333 citations Latifur Khan, Kevin W. Hamlen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Latifur Khan United States 40 3.5k 2.3k 1.7k 1.6k 765 322 6.2k
Qinghua Zheng China 42 3.7k 1.1× 2.0k 0.9× 2.4k 1.4× 851 0.5× 1.7k 2.3× 440 7.5k
Tao Li United States 45 4.7k 1.3× 1.6k 0.7× 2.5k 1.4× 1.5k 0.9× 2.0k 2.6× 257 8.9k
Ke Xu China 41 2.9k 0.8× 3.5k 1.5× 1.7k 1.0× 1.1k 0.7× 710 0.9× 462 7.4k
Nor Badrul Anuar Malaysia 45 2.0k 0.6× 3.4k 1.5× 2.5k 1.4× 1.9k 1.2× 470 0.6× 144 8.1k
Shamkant B. Navathe United States 31 3.6k 1.0× 4.1k 1.8× 3.4k 2.0× 2.4k 1.5× 471 0.6× 173 7.4k
Craig A. Knoblock United States 45 4.5k 1.3× 2.5k 1.1× 3.0k 1.8× 1.2k 0.7× 867 1.1× 260 7.7k
Anand Rajaraman United States 26 3.4k 0.9× 3.7k 1.6× 2.6k 1.5× 2.4k 1.5× 582 0.8× 51 6.5k
Zheng Yan China 52 4.1k 1.2× 4.7k 2.1× 3.6k 2.1× 1.2k 0.7× 917 1.2× 403 10.2k
Hai-Tao Zheng China 43 3.1k 0.9× 2.6k 1.2× 1.4k 0.8× 786 0.5× 819 1.1× 252 7.1k
Moisés Goldszmidt United States 26 3.8k 1.1× 1.8k 0.8× 1.6k 0.9× 620 0.4× 439 0.6× 57 6.6k

Countries citing papers authored by Latifur Khan

Since Specialization
Citations

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

Fields of papers citing papers by Latifur Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Latifur Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Latifur Khan. A scholar is included among the top collaborators of Latifur Khan 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 Latifur Khan. Latifur Khan 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
1.
2.
Al‐Shaer, Ehab, et al.. (2024). SMET: Semantic mapping of CTI reports and CVE to ATT&CK for advanced threat intelligence. Journal of Computer Security.
3.
Silva, Paula F. da, Jürgen Pilz, Erkan İstanbulluoğlu, et al.. (2023). Community perceptions of landslide risk and susceptibility: a multi-country study. Landslides. 20(6). 1321–1334. 19 indexed citations
4.
Khan, Latifur, et al.. (2023). Con2Mix: A semi-supervised method for imbalanced tabular security data1. Journal of Computer Security. 31(6). 705–726. 1 indexed citations
5.
Khan, Latifur, et al.. (2022). SentMod: Hidden Backdoor Attack on Unstructured Textual Data. 224–231. 3 indexed citations
6.
Hu, Yibo, et al.. (2022). Controllable Fake Document Infilling for Cyber Deception. 6505–6519. 6 indexed citations
7.
Khan, Latifur, et al.. (2021). CoMe-KE: A New Transformers Based Approach for Knowledge Extraction in Conflict and Mediation Domain. 2021 IEEE International Conference on Big Data (Big Data). 1449–1459. 4 indexed citations
8.
Ayoade, Gbadebo, et al.. (2021). Crook-sourced intrusion detection as a service. Journal of Information Security and Applications. 61. 102880–102880. 1 indexed citations
9.
D’Orazio, Vito, et al.. (2019). UTDEventData: An R package to access political event data. The Journal of Open Source Software. 4(36). 1322–1322. 6 indexed citations
10.
Ayoade, Gbadebo, et al.. (2018). Secure data processing for IoT middleware systems. The Journal of Supercomputing. 75(8). 4684–4709. 23 indexed citations
11.
Heydarzadeh, Mehrdad, et al.. (2017). A Scalable Spark-Based Fault Diagnosis Platform for Gearbox Fault Diagnosis in Wind Farms. 100–107. 10 indexed citations
12.
Ng, Vincent, et al.. (2011). Learning cause identifiers from annotator rationales. International Joint Conference on Artificial Intelligence. 1758–1763. 2 indexed citations
13.
Khan, Latifur, et al.. (2011). RDFKB: a semantic web knowledge base. International Joint Conference on Artificial Intelligence. 2830–2831. 2 indexed citations
14.
Thuraisingham, Bhavani, et al.. (2011). Supervised Learning for Insider Threat Detection Using Stream Mining. 1032–1039. 33 indexed citations
15.
Khan, Latifur, et al.. (2011). Pseudo-label generation for multi-label text classification. 60–75. 2 indexed citations
16.
Thuraisingham, Bhavani, et al.. (2009). Design and implementation of a secure social network system. Computer Systems: Science & Engineering. 24(2). 71–83. 1 indexed citations
17.
Khan, Latifur, et al.. (2008). Ontology alignment using multiple contexts. CEUR Workshop Proceedings. 401. 88–89. 2 indexed citations
18.
Khan, Latifur, Qing Chen, & Lei Wang. (2004). Change Detection in XML Documents for Fixed Structures using Exclusive-Or (XOR). Journal of Digital Information Management. 2(3). 142. 1 indexed citations
19.
Wang, Lei, et al.. (2002). Object boundary detection for ontology-based image classification. 51–61. 5 indexed citations
20.
Khan, Latifur, et al.. (2002). A Comparative Study of Storing XML Data in Relational Database Management Systems.. International Conference on Internet Computing. 277–282. 2 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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