Xiaofeng Meng

3.9k citations
267 papers · 2.8k · h-index 26

Impact in

Papers in

Xiaofeng Meng

232 papers receiving 2.7k citations

Peers

Xiaofeng Meng
Comparison fields: 5 of 90
  • Signal Processing 632
  • Artificial Intelligence 1.7k
  • Computer Science Applications 256
  • Information Systems 974
  • Computer Networks and Communications 969
Replace Zhenjie Zhang with:
Zhenjie Zhang China
Haibo Hu Hong Kong
Buğra Gedik United States
Dan Lin United States
Hillol Kargupta United States
Vana Kalogeraki Greece
Markus Miettinen Germany
Gabriel Ghinita United States
Jun Shao China
Kyriakos Mouratidis Singapore
Xiaofeng Meng relative to Zhenjie Zhang China Zhenjie Zhang's profile →
Citations per field
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Zhenjie Zhang · 1×
Citations per year

Countries citing papers authored by Xiaofeng Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 267 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009174
2 2011169
3 2019137
4
Integrity auditing of outsourced data
2007136
5 200976
6 201474
7 201273
8 202072
9 200957
10 202150
11 201250
12 202148
13 200348
14 200846
15
Vision-based Web Data Records Extraction
200645
16 202145
17
Proceedings of the 15th international conference on Database systems for advanced applications
201041
18 201040
19 202038
20 201337

About Xiaofeng Meng

Xiaofeng Meng is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Geography, Planning and Development, having authored 267 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (85 papers), Advanced Database Systems and Queries (70 papers), Privacy-Preserving Technologies in Data (42 papers), Web Data Mining and Analysis (33 papers), Cryptography and Data Security (23 papers), Cloud Computing and Resource Management (22 papers), Advanced Data Storage Technologies (22 papers) and Caching and Content Delivery (21 papers). The work is most often cited by research in Signal Processing (632 citations), Artificial Intelligence (1.7k citations), Computer Science Applications (256 citations), Information Systems (974 citations) and Computer Networks and Communications (969 citations). Xiaofeng Meng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jianliang Xu, Haibo Hu, Xiao Pan, Weiyi Meng, Wei Liu, Qingqing Ye, Haixun Wang, Huadi Zheng, Jian Yin and Min Xie. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Knowledge and Data Engineering, Frontiers of Computer Science, Knowledge-Based Systems and ACM SIGMOD Record.

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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