Standout Papers

ML-KNN: A lazy learning approach to multi-label learning 2006 2026 2012 2019 1.9k
  1. ML-KNN: A lazy learning approach to multi-label learning (2007)
    Min-Ling Zhang, Zhi‐Hua Zhou Pattern Recognition
  2. A Review on Multi-Label Learning Algorithms (2013)
    Min-Ling Zhang, Zhi‐Hua Zhou IEEE Transactions on Knowledge and Data Engineering
  3. Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization (2006)
    Min-Ling Zhang, Zhi‐Hua Zhou IEEE Transactions on Knowledge and Data Engineering
  4. Lift: Multi-Label Learning with Label-Specific Features (2014)
    Min-Ling Zhang, Lei Wu IEEE Transactions on Pattern Analysis and Machine Intelligence

Immediate Impact

3 from Science/Nature 58 standout
Sub-graph 1 of 21

Citing Papers

Machine Learning in Polymer Research
2025 Standout
Evaluation metrics and statistical tests for machine learning
2024 Standout
3 intermediate papers

Works of Min-Ling Zhang being referenced

A Review on Multi-Label Learning Algorithms
2013 Standout

Author Peers

Author Last Decade Papers Cites
Min-Ling Zhang 5710 3073 1334 1632 127 7.7k
Shichao Zhang 3745 2788 495 1186 213 7.6k
Ludmila I. Kuncheva 4345 1888 603 672 96 7.0k
Pat Langley 4294 1039 825 1162 155 7.8k
Chen Ding 2482 1783 1435 654 69 7.0k
Chris Ding 2951 3118 1914 459 145 7.8k
Pedro Larrañaga 4249 1286 2732 687 217 9.8k
David W. Aha 3955 1039 490 1211 104 6.4k
Cho‐Jui Hsieh 3349 1858 615 505 119 6.0k
Franco Scarselli 3349 1632 648 753 74 6.6k
Andrew K. C. Wong 2193 1891 786 523 112 5.9k

All Works

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Rankless by CCL
2026