Yang Ge

614 citations
48 papers · 439 · h-index 12

Impact in

Papers in

Yang Ge

38 papers receiving 431 citations

Peers

Yang Ge
Comparison fields: 5 of 66
  • Hardware and Architecture 146
  • Computer Networks and Communications 133
  • Ocean Engineering 76
  • Industrial and Manufacturing Engineering 30
  • Electrical and Electronic Engineering 164
Replace Andrea Borghesi with:
Andrea Borghesi Italy
Susie Go United States
Xiang Cao United States
Jihun Yi South Korea
Pietro Tedeschi Qatar
Sandip Bapat United States
Yang Ge relative to Andrea Borghesi Italy Andrea Borghesi's profile →
Citations per field
00.5×10.9×
Andrea Borghesi · 1×
Citations per year

Countries citing papers authored by Yang Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201083
2 201445
3 201144
4 201130
5 202125
6 201523
7 199520
8 202017
9 201715
10 202114
11 201513
12 202213
13 201510
14 200910
15 20237
16 20167
17 20167
18 20126
19 20106
20 20095

About Yang Ge

Yang Ge is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, Mechanical Engineering and Control and Systems Engineering, having authored 48 papers that have together received 439 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Underwater Vehicles and Communication Systems (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Optimal Power Flow Distribution (4 papers), Robotic Path Planning Algorithms (4 papers), Interconnection Networks and Systems (4 papers), Complex Systems and Time Series Analysis (4 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Hardware and Architecture (146 citations), Computer Networks and Communications (133 citations), Ocean Engineering (76 citations), Industrial and Manufacturing Engineering (30 citations) and Electrical and Electronic Engineering (164 citations). Yang Ge has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qinru Qiu, Jun Wang, Qing Wu, Rubo Zhang, Haiyan Wang, Yongsheng Yan, Xiaohong Shen, Yumin Su, Wei Deng and Xueyao Li. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Communications, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Access and Measurement.

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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