Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Oxygen-vacancy-related low-frequency dielectric relaxation and electrical conduction inBi:SrTiO3
This map shows the geographic impact of Ang Chen'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 Ang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ang Chen more than expected).
This network shows the impact of papers produced by Ang Chen. 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 Ang Chen. The network helps show where Ang Chen may publish in the future.
Co-authorship network of co-authors of Ang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Ang Chen.
A scholar is included among the top collaborators of Ang Chen based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Ang Chen. Ang Chen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhang, Qizhen, Yifan Cai, Sebastian Angel, et al.. (2020). Rethinking Data Management Systems for Disaggregated Data Centers. Conference on Innovative Data Systems Research.6 indexed citations
9.
Chen, Ang, et al.. (2020). NetWarden: Mitigating Network Covert Channels while Preserving Performance. USENIX Security Symposium. 2039–2056.18 indexed citations
10.
Hsu, Kuo‐Feng, Ryan Beckett, Ang Chen, et al.. (2020). Contra: A Programmable System for Performance-aware Routing. arXiv (Cornell University). 701–721.23 indexed citations
11.
Zhai, Ennan, Ang Chen, Ružica Piskač, et al.. (2020). Check before You Change: Preventing Correlated Failures in Service Updates.. Networked Systems Design and Implementation. 575–589.8 indexed citations
Chen, Ang, et al.. (2019). Automated Attack Discovery in Data Plane Systems.. USENIX Security Symposium.11 indexed citations
14.
Chen, Ang, Chen Chen, Andreas Haeberlen, et al.. (2018). Data Center Diagnostics with Network Provenance.. IEEE Data(base) Engineering Bulletin. 41. 74–85.1 indexed citations
15.
Khoram, Erfan, Ang Chen, Dianjing Liu, et al.. (2018). Stochastic Optimization of Nonlinear Nanophotonic Media for Artificial Neural Inference. arXiv (Cornell University).
16.
Chen, Ang, et al.. (2017). Automated Bug Removal for Software-Defined Networks. ScholarlyCommons (University of Pennsylvania). 719–733.15 indexed citations
17.
Chen, Ang, et al.. (2017). Data Provenance at Internet Scale: Architecture, Experiences, and the Road Ahead.. Conference on Innovative Data Systems Research.16 indexed citations
18.
Chen, Ang, et al.. (2015). Fault tolerance and the five-second rule. ScholarlyCommons (University of Pennsylvania). 11–11.2 indexed citations
Chen, Ang, Zhenglei Yu, Zhao Jing, Paula M. Vilarinho, & J.L. Baptista. (1998). Dielectric properties of (Sr0.76Bi0.16)TiO3-PbTiO3 ceramics. Boletín de la Sociedad Española de Cerámica y Vidrio. 37(3). 235–237.1 indexed citations
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.