Xi He

536 citations
27 papers · 202 · h-index 8

Impact in

Papers in

Xi He

23 papers receiving 194 citations

Peers

Xi He
Comparison fields: 5 of 52
  • Artificial Intelligence 132
  • Industrial and Manufacturing Engineering 21
  • Management Science and Operations Research 23
  • Computer Science Applications 10
  • Information Systems 32
Replace Tahmid Hasan Pranto with:
Tahmid Hasan Pranto Bangladesh
Rupa G. Mehta India
Farashazillah Yahya Malaysia
Luc Lamontagne Canada
Shangyu Xie United States
Ha Xuan Son Vietnam
Wout Hofman Netherlands
Ana D. López‐Sánchez Spain
Bogdan-George Tudorică Romania
Hamda Al Breiki United Arab Emirates
Xi He relative to Tahmid Hasan Pranto Bangladesh Tahmid Hasan Pranto's profile →
Citations per field
00.5×3.3×
Tahmid Hasan Pranto · 1×
Citations per year

Countries citing papers authored by Xi He

Since Specialization
Citations

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

Fields of papers citing papers by Xi He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201750
2 202028
3 202224
4 202219
5 202214
6 20229
7 20229
8 20128
9 20246
10 20216
11 20245
12
Private Exploration Primitives for Data Cleaning.
20174
13 20163
14 20133
15 20223
16
OpenFlow Security Threat Detection and Defense Services
20142
17 20242
18 20212
19 20241
20 20131

About Xi He

Xi He is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 202 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (10 papers), Cryptography and Data Security (9 papers), Recycling and Waste Management Techniques (3 papers), Municipal Solid Waste Management (3 papers), Graph Theory and Algorithms (2 papers), Privacy, Security, and Data Protection (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (132 citations), Industrial and Manufacturing Engineering (21 citations), Management Science and Operations Research (23 citations), Computer Science Applications (10 citations) and Information Systems (32 citations). Xi He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ashwin Machanavajjhala, Divesh Srivastava, Cheryl Flynn, Jennie Rogers, Yongjoo Park, Xiao Wang, Qingbin Song, Jessica Hullman, Liujie Xu and Kaihan Cai. Their work appears in journals such as Proceedings of the VLDB Endowment, Information Sciences, ACM Transactions on Information Systems, Knowledge-Based Systems and Expert Systems with Applications.

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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