Matloob Khushi

2.5k total citations · 2 hit papers
56 papers, 1.5k citations indexed

About

Matloob Khushi is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Matloob Khushi has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 13 papers in Molecular Biology and 9 papers in Management Science and Operations Research. Recurrent topics in Matloob Khushi's work include Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (7 papers) and Stock Market Forecasting Methods (7 papers). Matloob Khushi is often cited by papers focused on Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (7 papers) and Stock Market Forecasting Methods (7 papers). Matloob Khushi collaborates with scholars based in Australia, United Kingdom and Pakistan. Matloob Khushi's co-authors include Usman Naseem, Jinman Kim, Kamran Shaukat, Shahadat Uddin, Imran Razzak, Suhuai Luo, Talha Mahboob Alam, Peter Eklund, Mohammad Ali Moni and Ibrahim A. Hameed and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Matloob Khushi

55 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis

2021 228 citations Usman Naseem, Imran Razzak et al. IEEE Transactions on Computational Social Systems profile →
A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data

2021 194 citations Matloob Khushi, Kamran Shaukat et al. IEEE Access profile →

Peers

Matloob Khushi

HIM

SPS

MSOR

Xiaohui Tao Australia

Dimitris Kanellopoulos Greece

Alfredo Vellido Spain

Raj Gururajan Australia

Tianyong Hao China

Himabindu Lakkaraju United States

Francisco Fernández‐Navarro Spain

Talha Mahboob Alam Pakistan

Jun Yan China

Xiaohui Tao Australia

Matloob Khushi

1.4k ×1.8

249 ×1.3

HIM

124 ×0.7

SPS

104 ×0.7

MSOR

553 ×4.0

Citations per year, relative to Matloob Khushi Matloob Khushi (= 1×) peers Xiaohui Tao

Countries citing papers authored by Matloob Khushi

Since Specialization

Citations

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

Fields of papers citing papers by Matloob Khushi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matloob Khushi

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

All Works

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20 of 20 papers shown

Bagchi, Debasis, et al.. (2025). Multifunctional metal-organic frameworks in breast cancer therapy: Advanced nanovehicles for effective treatment. European Journal of Medicinal Chemistry. 289. 117424–117424. 2 indexed citations

Poon, Josiah, et al.. (2024). Bridging the Gap Between Machine and Human in Stock Prediction: Addressing Heterogeneity in Stock Market. IEEE Access. 12. 186171–186185. 1 indexed citations

Khushi, Matloob, et al.. (2024). Sustainable Climate Change Predictions: Linear Regression Modeling of Temperature Trends. 1–9. 2 indexed citations

Khushi, Matloob, et al.. (2024). Graph neural network-based subgraph analysis for predicting adverse drug events. Computers in Biology and Medicine. 183. 109282–109282. 4 indexed citations

Thibaut, L, Matloob Khushi, Gillian M. Blue, et al.. (2023). ConanVarvar: a versatile tool for the detection of large syndromic copy number variation from whole-genome sequencing data. BMC Bioinformatics. 24(1). 49–49. 1 indexed citations

Lu, Haohui, et al.. (2022). A machine learning software tool for multiclass classification. Software Impacts. 13. 100383–100383. 5 indexed citations

Naseem, Usman, et al.. (2022). Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. Brunel University Research Archive (BURA) (Brunel University London). 22–31. 16 indexed citations

Naseem, Usman, Adam G. Dunn, Matloob Khushi, & Jinman Kim. (2022). Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. BMC Bioinformatics. 23(1). 144–144. 38 indexed citations

Naseem, Usman, Imran Razzak, Matloob Khushi, Peter Eklund, & Jinman Kim. (2021). COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. IEEE Transactions on Computational Social Systems. 8(4). 1003–1015. 228 indexed citations breakdown →

10.

Rashed-Al-Mahfuz, Md., Mohammad Ali Moni, Píetro Lió, et al.. (2021). Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions. Biomedical Engineering Letters. 11(2). 147–162. 45 indexed citations

11.

Uddin, Shahadat, Tasadduq Imam, Matloob Khushi, Arif Khan, & Mohammad Ali Moni. (2021). How did socio-demographic status and personal attributes influence compliance to COVID-19 preventive behaviours during the early outbreak in Japan? Lessons for pandemic management. Personality and Individual Differences. 175. 110692–110692. 61 indexed citations

12.

Alam, Talha Mahboob, Kamran Shaukat, Ibrahim A. Hameed, et al.. (2020). An Investigation of Credit Card Default Prediction in the Imbalanced Datasets. IEEE Access. 8. 201173–201198. 122 indexed citations

13.

Faisal, Fahim, et al.. (2019). Towards an LSTM-based Predictive Framework for Literature-based Knowledge Discovery.. arXiv (Cornell University). 1 indexed citations

14.

Rao, Padmashree, Min Pang, Xi Qiao, et al.. (2019). Promotion of β-catenin/Foxo1 signaling ameliorates renal interstitial fibrosis. Laboratory Investigation. 99(11). 1689–1701. 22 indexed citations

15.

Chen, Yuyan, Matloob Khushi, Laurence C. Cantrill, et al.. (2019). Delayed recruiting of TPD52 to lipid droplets – evidence for a “second wave” of lipid droplet-associated proteins that respond to altered lipid storage induced by Brefeldin A treatment. Scientific Reports. 9(1). 9790–9790. 6 indexed citations

16.

Khushi, Matloob, Christine E. Napier, Christine M. Smyth, Roger R. Reddel, & Jonathan W. Arthur. (2017). MatCol: a tool to measure fluorescence signal colocalisation in biological systems. Scientific Reports. 7(1). 8879–8879. 16 indexed citations

17.

Khushi, Matloob, Christopher Liddle, Christine L. Clarke, & J. Dinny Graham. (2014). Binding Sites Analyser (BiSA): Software for Genomic Binding Sites Archiving and Overlap Analysis. PLoS ONE. 9(2). e87301–e87301. 7 indexed citations

18.

Khushi, Matloob, et al.. (2013). Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information. Diagnostic Pathology. 8(1). 22–22. 9 indexed citations

19.

Khushi, Matloob, Jane Carpenter, Rosemary L. Balleine, & Christine L. Clarke. (2012). Electronic Biorepository Application System: Web-Based Software to Manage Receipt, Peer Review, and Approval of Researcher Applications to a Biobank. Biopreservation and Biobanking. 10(1). 37–44. 5 indexed citations

20.

Khushi, Matloob, Jane Carpenter, Rosemary L. Balleine, & Christine L. Clarke. (2011). Development of a data entry auditing protocol and quality assurance for a tissue bank database. Cell and Tissue Banking. 13(1). 9–13. 7 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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