Leaderboards/Mobile Crowdsensing and Crowdsourcing

Mobile Crowdsensing and Crowdsourcing

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Benjamin D Douglas
Ohio Wesleyan University
2
Hangyu Zhu
Hangzhou Dianzi University
3
Zhuangdi Zhu
Michigan State University
4
Syreen Banabilah
Duquesne University
5
Yuang Jiang
Yale University
6
Wei Yang Bryan Lim
Nanyang Technological University
7
Kang Wei
Southeast University
8
Ahmed El Ouadrhiri
Rockford University
9
Xiaodong Ma
University of Electronic Science and Technology of China
10
Léonard Boussioux
University of Washington

Rising Stars Papers

1
The Crowdless Future? Generative AI and Creative Problem-Solving
Organization Science|2024
222 cit.
2
Research on fault feature extraction for planet-bearing using novel combination operator morphological filtering and stochastic resonance
Journal of Sound and Vibration|2025
29 cit.
3
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
Unknown Journal|2025
11 cit.
4
Gradient sparsification for efficient wireless federated learning with differential privacy
Science China Information Sciences|2024
10 cit.
5
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
IEEE Transactions on Neural Networks and Learning Systems|2025
8 cit.
6
The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing
Academy of Management Proceedings|2024
6 cit.
7
GGI: Generative Gradient Inversion Attack in Federated Learning
Unknown Journal|2024
3 cit.
8
Application of domain-adaptive network with data augmentation in lithology identification of buried hill igneous rocks
Geoenergy Science and Engineering|2025
3 cit.
9
Privacy attack in federated learning is not easy: an experimental study
Complex & Intelligent Systems|2025
3 cit.
10
Research on the impact of pointing gestures based on computer vision technology on classroom concentration
Neural Computing and Applications|2024
2 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Tzvi Abberbock
Lander University
2
Jo Evershed
Textron Systems (United Kingdom)
3
Francisca Fils‐Aime
University of Illinois Urbana-Champaign
4
Sarah C. Kucker
Southern Methodist University
5
Ravi S. Ramani
Morgan State University
6
Lichao Sun
Lehigh University
7
Xu Zheng
University of Electronic Science and Technology of China
8
Joy Buolamwini
Massachusetts Institute of Technology
9
Haiyi Zhu
Carnegie Mellon University
10
Peizhao Zhang
Meta (Israel)

Emerging Leaders Papers

1
Response rates of online surveys in published research: A meta-analysis
Computers in Human Behavior Reports|2022
1.2k cit.
2
SplitFed: When Federated Learning Meets Split Learning
Proceedings of the AAAI Conference on Artificial Intelligence|2022
621 cit.
3
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT
International Journal of Machine Learning and Cybernetics|2024
373 cit.
4
Adversarial Attack and Defense on Graph Data: A Survey
IEEE Transactions on Knowledge and Data Engineering|2022
243 cit.
5
A generalist vision–language foundation model for diverse biomedical tasks
Nature Medicine|2024
208 cit.
6
Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
2022 ACM Conference on Fairness, Accountability, and Transparency|2022
164 cit.
7
<scp>FedBERT</scp>: When Federated Learning Meets Pre-training
ACM Transactions on Intelligent Systems and Technology|2022
117 cit.
8
Personalized Edge Intelligence via Federated Self-Knowledge Distillation
IEEE Transactions on Parallel and Distributed Systems|2022
106 cit.
9
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
2022 ACM Conference on Fairness, Accountability, and Transparency|2022
89 cit.
10
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation
IEEE Transactions on Computers|2023
82 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Rajkumar Buyya
Queensland University of Technology
2
Marimuthu Palaniswami
The University of Melbourne
3
John Riedl
United Monolithic Semiconductor (France)
4
Andrew T. Campbell
Dartmouth College
5
Sen Zhao
University of Hawaiʻi at Mānoa
6
Alessandro Acquisti
Carnegie Mellon University
7
Panagiotis G. Ipeirotis
New York University
8
Gabriel Lenz
AdventHealth Orlando
9
Ruslan Salakhutdinov
Massachusetts Institute of Technology
10
S. Bartholomew Craig
North Carolina State University

Current Senior Leaders Papers

1
Dropout: a simple way to prevent neural networks from overfitting
Unknown Journal|2014
34.3k cit.
2
Reducing the Dimensionality of Data with Neural Networks
Science|2006
21k cit.
3
Internet of Things (IoT): A vision, architectural elements, and future directions
Future Generation Computer Systems|2013
12k cit.
4
Item-based collaborative filtering recommendation algorithms
Unknown Journal|2001
9k cit.
5
Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
Future Generation Computer Systems|2008
5.9k cit.
6
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems|2004
5.8k cit.
7
GroupLens
Unknown Journal|1994
5k cit.
8
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
Software Practice and Experience|2010
4.9k cit.
9
Advances and Open Problems in Federated Learning
Foundations and Trends® in Machine Learning|2020
4.7k cit.
10
Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
Political Analysis|2012
4.1k cit.

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