John Hancock
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 2%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
Papers in
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- Imbalanced Data Classification Techniques 28
- Machine Learning and Data Classification 15
- Anomaly Detection Techniques and Applications 14
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- Network Security and Intrusion Detection 14
- Co-authors
- Taghi M. Khoshgoftaar (45 shared papers)Huanjing Wang (7 shared papers)Qianxin Liang (5 shared papers)Joffrey L. Leevy (13 shared papers)Justin Johnson (6 shared papers)Richard Zuech (8 shared papers)Richard A. Bauder (3 shared papers)Alice Leung (5 shared papers)
- Journals
- Journal Of Big Data (14 papers)International Journal of Reliability Quality and Safety Engineering (3 papers)SN Computer Science (3 papers)International Journal of Artificial Intelligence Tools (1 paper)2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (3 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
John Hancock
48 papers receiving 2.0k citations
John Hancock's Hit Papers
Peers
Comparison fields: 5 of 186
- Health Information Management 142
- Artificial Intelligence 776
- Signal Processing 151
- Health Informatics 15
- Computer Networks and Communications 239
Countries citing papers authored by John Hancock
This map shows the geographic impact of John Hancock'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 John Hancock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hancock more than expected).
Fields of papers citing papers by John Hancock
This network shows the impact of papers produced by John Hancock. 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 John Hancock. The network helps show where John Hancock may publish in the future.
Co-authors
The 25 scholars most cited alongside John Hancock, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CatBoost for big data: an interdisciplinary review Hit paper breakdown → | 2020 | 946 |
| 2 | Survey on categorical data for neural networks Hit paper breakdown → | 2020 | 334 |
| 3 | Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods Hit paper breakdown → | 2024 | 153 |
| 4 | 2021 | 50 | |
| 5 | 2023 | 48 | |
| 6 | 2021 | 46 | |
| 7 | 2020 | 40 | |
| 8 | 2020 | 33 | |
| 9 | 2020 | 31 | |
| 10 | 2024 | 21 | |
| 11 | Tweet Ranking Based on Heterogeneous Networks | 2012 | 20 |
| 12 | 2021 | 20 | |
| 13 | 2023 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2022 | 17 | |
| 16 | 2023 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2022 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2025 | 13 |
About John Hancock
John Hancock is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Accounting and Signal Processing, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (28 papers), Machine Learning and Data Classification (15 papers), Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (14 papers), Electricity Theft Detection Techniques (12 papers), Financial Distress and Bankruptcy Prediction (9 papers), Advanced Malware Detection Techniques (7 papers) and Artificial Intelligence in Healthcare (7 papers). The work is most often cited by research in Health Information Management (142 citations), Artificial Intelligence (776 citations), Signal Processing (151 citations), Health Informatics (15 citations) and Computer Networks and Communications (239 citations). John Hancock has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Taghi M. Khoshgoftaar, Huanjing Wang, Qianxin Liang, Joffrey L. Leevy, Justin Johnson, Richard Zuech, Richard A. Bauder, Alice Leung, Tarek Abdelzaher and Heng Ji. Their work appears in journals such as Journal Of Big Data, International Journal of Reliability Quality and Safety Engineering, SN Computer Science, International Journal of Artificial Intelligence Tools and 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
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.