Huma Lodhi

1.1k citations
22 papers · 691 · h-index 8

Impact in

    • Topic Modeling
    • Text and Document Classification Technologies
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Algorithms and Data Compression
    • Face and Expression Recognition
    • Image Retrieval and Classification Techniques

Papers in

    • Text and Document Classification Technologies 4
    • Machine Learning and Data Classification 3
    • Imbalanced Data Classification Techniques 2
    • Education and Critical Thinking Development 3

Huma Lodhi

20 papers receiving 632 citations

Peers

Huma Lodhi
Comparison fields: 5 of 113
  • Artificial Intelligence 425
  • Computer Vision and Pattern Recognition 137
  • Signal Processing 55
  • Computational Theory and Mathematics 70
  • Information Systems 97
Replace Ameen Banjar with:
Ameen Banjar Saudi Arabia
Seppo Puuronen Finland
Tu-Bao Ho Japan
Brijnesh J. Jain Germany
N. V. Subba Reddy India
Yuanyuan Zhu China
Rajesh Parekh United States
Nanda Kambhatla United States
Bazil Pârv Romania
Kelvin Sim Singapore
Huma Lodhi relative to Ameen Banjar Saudi Arabia Ameen Banjar's profile →
Citations per field
00.5×9.8×
Ameen Banjar · 1×
Citations per year

Countries citing papers authored by Huma Lodhi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 12 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.

Border = papers with Huma Lodhi Line = papers co-authored together Huma Lodhi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Text Classification using String Kernels
2000376
2 2002146
3 201036
4 200730
5 200227
6
Elements of computational systems biology
201022
7 202011
8 20128
9 20205
10 20205
11 20104
12
Impact of Distributed Leadership and Psychological Empowerment on Organizational Learning Culture
20173
13 20203
14 20023
15 20093
16 20233
17 20102
18
Gram-schmidt kernels applied to structure activity analysis for drug design
20021
19 20231
20 20201

About Huma Lodhi

Huma Lodhi is a scholar working on Artificial Intelligence, Education, Molecular Biology, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 22 papers that have together received 691 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (4 papers), Machine Learning in Bioinformatics (3 papers), Education and Critical Thinking Development (3 papers), Machine Learning and Data Classification (3 papers), Face and Expression Recognition (2 papers), Computational Drug Discovery Methods (2 papers), Imbalanced Data Classification Techniques (2 papers) and Organizational Leadership and Management Strategies (2 papers). The work is most often cited by research in Artificial Intelligence (425 citations), Computer Vision and Pattern Recognition (137 citations), Signal Processing (55 citations), Computational Theory and Mathematics (70 citations) and Information Systems (97 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, Moustafa Ghanem, Yike Guo, Muhammad Akram and Grigoris Karakoulas. Their work appears in journals such as Journal of Intelligent Information Systems, The Journal of Educational Research, Journal of Chemical Information and Modeling, Wiley Interdisciplinary Reviews Computational Statistics and Molecular Informatics.

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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