Ce Zhang

420 citations
29 papers · 252 indexed · h-index 9
Topics
Data Stream Mining Techniques (4 papers)Machine Learning and Data Classification (4 papers)Musculoskeletal pain and rehabilitation (3 papers)

In The Last Decade

Ce Zhang

26 papers receiving 240 citations

Peers

Ce Zhang
Comparison fields: 5 of 80
  • Artificial Intelligence 67
  • Software 60
  • Information Systems 59
  • Mechanical Engineering 41
  • Computer Networks and Communications 36
Replace A. Patterson-Hine with:
A. Patterson-Hine United States
M. Kaufman United States
K. Wojtek Przytula United States
Eliahu Khalastchi Israel
Dong Zhou China
Benjamin Lussier France
Takehisa Kohda Japan
Junzo Watada Malaysia
Moritz Klischat Germany
Ce Zhang relative to A. Patterson-Hine United States A. Patterson-Hine's profile →
Citations per field
00.5×12×
A. Patterson-Hine · 1×
Citations per year

Countries citing papers authored by Ce Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ce Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ce Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ce Zhang. A scholar is included among the top collaborators of Ce Zhang 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 Ce Zhang. Ce Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 3
5 6
6 11
7 1
8 9
9 3
10 4
11 1
12 7
13 8
14 18
15 98
16
DeepDive: A Data Management System for Automatic Knowledge Base Construction
26
17 4
18
Advances on high-speed on-off valves
3
19 2
20
Study on Flat Plate Throttle Cushion Process of High Speed Hydraulic Cylinder
1

About Ce Zhang

Ce Zhang is a scholar working on Medical Laboratory Technology, Software and Safety, Risk, Reliability and Quality, having authored 29 papers that have together received 252 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (4 papers), Machine Learning and Data Classification (4 papers) and Musculoskeletal pain and rehabilitation (3 papers). The work is most often cited by research in Software (60 citations), Safety, Risk, Reliability and Quality (28 citations) and Information Systems (59 citations). Ce Zhang has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Jinyong Wang, Wentao Wu, Yü Liu, Hantian Zhang, Yaliang Li, Bolin Ding, Yuhu Yang, Changli Wang, Jianping Liu and Shiyu Wang. Their work appears in journals such as Scientific Reports, Sensors and Journal of the Science of Food and Agriculture.

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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