Ye Yang

Ye Yang

Stevens Institute of Technology

H-index: 30

North America-United States

About Ye Yang

Ye Yang, With an exceptional h-index of 30 and a recent h-index of 23 (since 2020), a distinguished researcher at Stevens Institute of Technology, specializes in the field of Software Engineering, Software Processes, Software Economics, Crowdsourcing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Technical debt in the engineering of complex systems

Identifying Emergent Leadership in OSS Projects Based on Communication Styles

iSPY: Issue–Solution Pairing From Developer Live Chats

SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning

A novel approach for fraudulent reviewer detection based on weighted topic modelling and nearest neighbors with asymmetric Kullback–Leibler divergence

Buglistener: identifying and synthesizing bug reports from collaborative live chats

Context-and fairness-aware in-process crowdworker recommendation

Are we building on the rock? on the importance of data preprocessing for code summarization

Ye Yang Information

University

Position

___

Citations(all)

3973

Citations(since 2020)

1778

Cited By

2881

hIndex(all)

30

hIndex(since 2020)

23

i10Index(all)

89

i10Index(since 2020)

49

Email

University Profile Page

Google Scholar

Ye Yang Skills & Research Interests

Software Engineering

Software Processes

Software Economics

Crowdsourcing

Top articles of Ye Yang

Title

Journal

Author(s)

Publication Date

Technical debt in the engineering of complex systems

Systems Engineering

Ye Yang

Dinesh Verma

Philip S Anton

2023/4/7

Identifying Emergent Leadership in OSS Projects Based on Communication Styles

arXiv preprint arXiv:2201.11897

Yuekai Huang

Ye Yang

Junjie Wang

Wei Zheng

Qing Wang

2022/1/28

iSPY: Issue–Solution Pairing From Developer Live Chats

IEEE Software

Lin Shi

Ye Yang

Qing Wang

2022/10/25

SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning

IEEE Transactions on Reliability

Wen Zhang

Jiangpeng Zhao

Rui Peng

Song Wang

Ye Yang

2022/6/1

A novel approach for fraudulent reviewer detection based on weighted topic modelling and nearest neighbors with asymmetric Kullback–Leibler divergence

Decision Support Systems

Wen Zhang

Rui Xie

Qiang Wang

Ye Yang

Jian Li

2022/6/1

Buglistener: identifying and synthesizing bug reports from collaborative live chats

Lin Shi

Fangwen Mu

Yumin Zhang

Ye Yang

Junjie Chen

...

2022/5/21

Context-and fairness-aware in-process crowdworker recommendation

ACM Transactions on Software Engineering and Methodology (TOSEM)

Junjie Wang

Ye Yang

Song Wang

Jun Hu

Qing Wang

2022/3/7

Are we building on the rock? on the importance of data preprocessing for code summarization

Lin Shi

Fangwen Mu

Xiao Chen

Song Wang

Junjie Wang

...

2022/11/7

A 2020 perspective on “DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function”

Electronic Commerce Research and Applications

Wen Zhang

Qiang Wang

Ye Yang

Taketoshi Yoshida

2021/7/1

A Scoping Review of Communication on Social Media-Breast Cancer

Nikhil Shetty

Ye Yang

Onur Asan

2021/6

ISPY: automatic issue-solution pair extraction from community live chats

Lin Shi

Ziyou Jiang

Ye Yang

Xiao Chen

Yumin Zhang

...

2021/11/15

Context-aware personalized crowdtesting task recommendation

IEEE Transactions on Software Engineering

Junjie Wang

Ye Yang

Song Wang

Chunyang Chen

Dandan Wang

...

2021/5/18

A first look at developers’ live chat on gitter

Lin Shi

Xiao Chen

Ye Yang

Hanzhi Jiang

Ziyou Jiang

...

2021/8/20

Crowdsim: A hybrid simulation model for failure prediction in crowdsourced software development

arXiv preprint arXiv:2103.09856

Razieh Saremi

Ye Yang

Gregg Vesonder

Guenther Ruhe

He Zhang

2021/3/17

An Empirical Investigation of Worker Communities in TopCoder

arXiv preprint arXiv:2107.02221

Razieh Saremi

Hamid Shamszare

Marzieh Lotfalian Saremi

Ye Yang

2021/7/5

Nobody of the Crowd: An Empirical Evaluation on Worker Clustering in Topcoder.

CoRR

Razieh Saremi

Hamid Shamszare

Marzieh Lotfalian Saremi

Ye Yang

2021

An evolutionary algorithm for task scheduling in crowdsourced software development

arXiv preprint arXiv:2107.02202

Razieh Saremi

Hardik Yagnik

Julian Togelius

Ye Yang

Guenther Ruhe

2021/7/5

A deep multitask learning approach for requirements discovery and annotation from open forum

Mingyang Li

Lin Shi

Ye Yang

Qing Wang

2020/12/21

Graph neural networks-based clustering for social internet of things

Abdullah Khanfor

Amal Nammouchi

Hakim Ghazzai

Ye Yang

Mohammad R Haider

...

2020/8/9

Automated Service Discovery for Social Internet-of-Things Systems

Abdullah Khanfor

Hakim Ghazzai

Ye Yang

Mohammad Rafiqul Haider

Yehia Massoud

2020/10/12

See List of Professors in Ye Yang University(Stevens Institute of Technology)

Co-Authors

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