Zi Chu

1.4k citations
6 papers · 747 indexed · 1 hit paper · h-index 4

Impact in

Papers in

Zi Chu

6 papers receiving 688 citations

Hit Papers

Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg? 2012 · 411 citations
4110+4+9Years since publication100200300400

Peers

Zi Chu
Comparison fields: 5 of 61
  • Information Systems 517
  • Signal Processing 210
  • Communication 107
  • Statistical and Nonlinear Physics 153
  • Computer Networks and Communications 212
Replace Gabriel Magno with:
Gabriel Magno Brazil
Erel Uziel Israel
Xichen Zhang Canada
Ildar Muslukhov Canada
Vadim Kagan United States
Sameena Shah United States
Tahora H. Nazer United States
Dan Liebling United States
Mainack Mondal India
Sejeong Kwon South Korea
Zi Chu relative to Gabriel Magno Brazil Gabriel Magno's profile →
Citations per field
00.5×3.8×
Gabriel Magno · 1×
Citations per year

Countries citing papers authored by Zi Chu

Since Specialization
Citations

This map shows the geographic impact of Zi Chu'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 Zi Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zi Chu more than expected).

Fields of papers citing papers by Zi Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zi Chu. 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 Zi Chu. The network helps show where Zi Chu may publish in the future.

Co-authors

The 4 scholars most cited alongside Zi Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zi Chu Line = papers co-authored together Zi Chu links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg?
Hit paper breakdown →
2012411
2 2010297
3 201233
4
RCB: a simple and practical framework for real-time collaborative browsing
20094
5 20121
6 20101

About Zi Chu

Zi Chu is a scholar working on Information Systems, Signal Processing, Sociology and Political Science, Information Systems and Management and Mechanics of Materials, having authored 6 papers that have together received 747 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Advanced Malware Detection Techniques (4 papers), Misinformation and Its Impacts (2 papers), Fatigue and fracture mechanics (1 paper), Personal Information Management and User Behavior (1 paper), Engineering Structural Analysis Methods (1 paper), Mechanical stress and fatigue analysis (1 paper) and Usability and User Interface Design (1 paper). The work is most often cited by research in Information Systems (517 citations), Signal Processing (210 citations), Communication (107 citations), Statistical and Nonlinear Physics (153 citations) and Computer Networks and Communications (212 citations). Zi Chu has collaborated with scholars based in United States and China. Frequent co-authors include Haining Wang, Steven Gianvecchio, Sushil Jajodia and Chuan Yue. Their work appears in journals such as Computer Communications, IEEE Transactions on Dependable and Secure Computing, Computer Networks, Applied Mechanics and Materials and USENIX Annual Technical Conference.

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.

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