Huma Lodhi
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Algorithms and Data Compression
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- Face and Expression Recognition
Papers in
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- Imbalanced Data Classification Techniques 4
- Text and Document Classification Technologies 4
- Machine Learning and Data Classification 3
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- Machine Learning in Bioinformatics 5
- Co-authors
- John Shawe‐Taylor (4 shared papers)Nello Cristianini (2 shared papers)Christopher J. Watkins (1 shared paper)Stephen Muggleton (8 shared papers)Yoshihiro Yamanishi (1 shared paper)Michael J.E. Sternberg (2 shared papers)Yike Guo (2 shared papers)Moustafa Ghanem (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (1 paper)Molecular Informatics (1 paper)The Journal of Educational Research (1 paper)Wiley Interdisciplinary Reviews Computational Statistics (1 paper)Journal of Intelligent Information Systems (1 paper)
- Partner nations
- United KingdomPakistanIndia
In The Last Decade
Huma Lodhi
27 papers receiving 810 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 556
- Computer Vision and Pattern Recognition 166
- Computational Theory and Mathematics 111
- Information Systems 131
- Signal Processing 63
Countries citing papers authored by Huma Lodhi
This map shows the geographic impact of Huma Lodhi'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 Huma Lodhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huma Lodhi more than expected).
Fields of papers citing papers by Huma Lodhi
This network shows the impact of papers produced by Huma Lodhi. 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 Huma Lodhi. The network helps show where Huma Lodhi may publish in the future.
Co-authors
The 14 scholars most cited alongside Huma Lodhi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Text Classification using String Kernels | 2000 | 421 |
| 2 | 2002 | 183 | |
| 3 | 2005 | 47 | |
| 4 | 2010 | 42 | |
| 5 | 2002 | 34 | |
| 6 | 2007 | 33 | |
| 7 | Elements of computational systems biology | 2010 | 28 |
| 8 | 2020 | 13 | |
| 9 | 2013 | 10 | |
| 10 | 2012 | 9 | |
| 11 | 2005 | 8 | |
| 12 | 2000 | 7 | |
| 13 | 2020 | 5 | |
| 14 | 2002 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2010 | 4 | |
| 17 | 2009 | 4 | |
| 18 | Impact of Distributed Leadership and Psychological Empowerment on Organizational Learning Culture | 2017 | 3 |
| 19 | 2020 | 3 | |
| 20 | 2023 | 3 |
About Huma Lodhi
Huma Lodhi is a scholar working on Artificial Intelligence, Molecular Biology, Education, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 880 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), Computational Drug Discovery Methods (4 papers), Imbalanced Data Classification Techniques (4 papers), Education and Critical Thinking Development (4 papers), Text and Document Classification Technologies (4 papers), Teacher Education and Leadership Studies (3 papers), Face and Expression Recognition (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Artificial Intelligence (556 citations), Computer Vision and Pattern Recognition (166 citations), Computational Theory and Mathematics (111 citations), Information Systems (131 citations) and Signal Processing (63 citations). Huma Lodhi has collaborated with scholars based in United Kingdom, Pakistan and India. Frequent co-authors include John Shawe‐Taylor, Nello Cristianini, Christopher J. Watkins, Stephen Muggleton, Yoshihiro Yamanishi, Michael J.E. Sternberg, Yike Guo, Moustafa Ghanem, Grigoris Karakoulas and David Gilbert. Their work appears in journals such as Journal of Chemical Information and Modeling, Molecular Informatics, The Journal of Educational Research, Wiley Interdisciplinary Reviews Computational Statistics and Journal of Intelligent Information Systems.
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.