Xi Ge

922 citations
22 papers · 680 · h-index 13

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research

Papers in

Xi Ge

22 papers receiving 659 citations

Peers

Xi Ge
Comparison fields: 5 of 95
  • Software 141
  • Information Systems 211
  • Information Systems and Management 59
  • Endocrinology 34
  • Genetics 144
Replace Will Hayes with:
Will Hayes United Kingdom
Kazi Zakia Sultana United States
Gabriel David Portugal
Dana Movshovitz‐Attias United States
Yimeng Dou United States
René Witte Canada
Morgan Ericsson Sweden
Kulwant Kaur India
Chris Varma United States
Xi Ge relative to Will Hayes United Kingdom Will Hayes's profile →
Citations per field
00.5×10×15×20×23×
Will Hayes · 1×
Citations per year

Countries citing papers authored by Xi Ge

Since Specialization
Citations

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

Fields of papers citing papers by Xi Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xi Ge, 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 Xi Ge Line = papers co-authored together Xi Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011198
2 201270
3 201366
4 201254
5 201148
6 201140
7 201436
8 201331
9 201425
10 201720
11 201218
12 201113
13 201412
14 201410
15 20149
16 20188
17 20168
18
The Effects of Use of Instant Messenger on Purchase Intention: The Context of Chinese C2C E-Commerce
20127
19 20244
20 20231

About Xi Ge

Xi Ge is a scholar working on Information Systems, Molecular Biology, Genetics, Software and Sociology and Political Science, having authored 22 papers that have together received 680 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Bacterial Genetics and Biotechnology (4 papers), Software Testing and Debugging Techniques (3 papers), Software Reliability and Analysis Research (3 papers), Technology Adoption and User Behaviour (3 papers), Spam and Phishing Detection (2 papers), Open Source Software Innovations (2 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Software (141 citations), Information Systems (211 citations), Information Systems and Management (59 citations), Endocrinology (34 citations) and Genetics (144 citations). Xi Ge has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Emerson Murphy-Hill, Zengyi Chang, Kee-Young Kwahk, Xinmiao Fu, Peng R. Chen, Meng Zhang, Jun Liu, Ye Fu, Shixian Lin and Xin Zhao. Their work appears in journals such as Scientific Reports, Journal of Bacteriology, Metals, FEBS Journal and Biochemical Journal.

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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