Leaderboards/Text and Document Classification Technologies

Text and Document Classification Technologies

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Diksha Khurana
Manav Rachna International Institute of Research and Studies
2
Connor Shorten
Florida Atlantic University
3
Xiangli Yang
Zhengzhou University
4
Yunsheng Shi
Baidu (China)
5
Yixin Liu
Griffith University
6
Wenxuan Zhang
Singapore University of Technology and Design
7
Erick Odhiambo Omuya
Machakos University
8
Yijie Lin
Sichuan University
9
Jingye Li
Wuhan University
10
Thibault Formal
Sorbonne Université

Rising Stars Papers

1
Integrating Graphs With Large Language Models: Methods and Prospects
IEEE Intelligent Systems|2024
23 cit.
2
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
Unknown Journal|2024
10 cit.
3
SPLATE: Sparse Late Interaction Retrieval
Unknown Journal|2024
7 cit.
4
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
Proceedings of the AAAI Conference on Artificial Intelligence|2024
6 cit.
5
Covalent immobilization of α-amylase on hollow metal organic framework coated magnetic phase-change microcapsules for the improvement of its thermostability
International Journal of Biological Macromolecules|2024
4 cit.
6
Understanding Reference Policies in Direct Preference Optimization
Unknown Journal|2025
3 cit.
7
Biomimetic mineralization of alkaline phosphatase and horseradish peroxidase utilizing ultrastable Uio-66-F4 for rapid colorimetric detection of organophosphorus pesticide
Food Chemistry|2025
3 cit.
8
Distributed Digital Identity Parking Authentication System Based on Blockchain
Unknown Journal|2024
1 cit.
9
A dual-layer network security model for smart factories based on the sentinel mechanism
Computer Networks|2025
1 cit.
10
Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects
IEEE Intelligent Systems|2026
1 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Chenliang Li
Wuhan University
2
Kiran Khatter
BML Munjal University
3
Sihao Deng
Centre National de la Recherche Scientifique
4
Jiabao Guo
Anhui University
5
Mingliang Wang
Shanghai Micro Satellite Engineering Center
6
Wanfu Gao
Jilin University
7
Su-Wen Huang
Chaoyang University of Technology
8
Rezzy Eko Caraka
National Research, Development and Innovation Office
9
Laith Abualigah
Al al-Bayt University
10
Xuelong Li
China Telecom (China)

Emerging Leaders Papers

1
Dwarf Mongoose Optimization Algorithm
Computer Methods in Applied Mechanics and Engineering|2022
865 cit.
2
Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer
Neural Computing and Applications|2022
435 cit.
3
Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm
IEEE Access|2022
429 cit.
4
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
Unknown Journal|2024
284 cit.
5
Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization
Advanced Engineering Informatics|2023
246 cit.
6
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
Neural Computing and Applications|2022
225 cit.
7
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Expert Systems with Applications|2023
215 cit.
8
A novel intelligent deep learning predictive model for meteorological drought forecasting
Journal of Ambient Intelligence and Humanized Computing|2022
188 cit.
9
A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks
IEEE Transactions on Cybernetics|2022
179 cit.
10
Geyser Inspired Algorithm: A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization
Journal of Bionic Engineering|2023
177 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Christopher D. Manning
Stanford University
2
Susan Dumais
Microsoft (United States)
3
Zhi‐Hua Zhou
Nanjing University
4
Bernhard Schölkopf
Max Planck Society
5
Erik Cambria
Nanyang Technological University
6
Giuseppe Jurman
Humanitas University
7
Eduard Hovy
The University of Melbourne
8
Jun Zhao
Dalian Jiaotong University
9
John Lafferty
Carnegie Mellon University
10
Philip S. Yu
University of Illinois Chicago

Current Senior Leaders Papers

1
Glove: Global Vectors for Word Representation
Unknown Journal|2014
33.8k cit.
2
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
Scholarly Commons (University of Pennsylvania)|2001
13k cit.
3
A tutorial on support vector regression
Statistics and Computing|2004
13k cit.
4
Effective Approaches to Attention-based Neural Machine Translation
Unknown Journal|2015
8.6k cit.
5
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Neural Computation|1998
8.1k cit.
6
The Stanford CoreNLP Natural Language Processing Toolkit
Unknown Journal|2014
7.2k cit.
7
Support vector machines
IEEE Intelligent Systems and their Applications|1998
6.9k cit.
8
A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge.
Psychological Review|1997
6.1k cit.
9
Estimating the Support of a High-Dimensional Distribution
Neural Computation|2001
5.9k cit.
10
Advances in kernel methods: support vector learning
Unknown Journal|1999
5.8k cit.

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