Ning Xin

588 citations
33 papers · 348 · 1 hit paper · h-index 11

Impact in

Papers in

Ning Xin

28 papers receiving 340 citations

Ning Xin's Hit Papers

Short-term OD flow prediction for urban rail transit control: A multi-graph spatiotemporal fusion approach 2025 · 36 citations
360Years since publication102030

Peers

Ning Xin
Comparison fields: 5 of 61
  • Computer Networks and Communications 157
  • Aerospace Engineering 114
  • Electrical and Electronic Engineering 114
  • Control and Systems Engineering 39
  • Artificial Intelligence 51
Replace Junling Shi with:
Junling Shi China
Ahmed Bader Saudi Arabia
Qian Ning China
Yifeng Zhao China
Chaofeng Zhang Japan
Zhonghao Lyu China
Nadine Abbas Lebanon
Aveek Dutta United States
Zixuan Zheng China
Ning Xin relative to Junling Shi China Junling Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ning Xin

Since Specialization
Citations

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

Fields of papers citing papers by Ning Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202360
2 201640
3 202338
4
Short-term OD flow prediction for urban rail transit control: A multi-graph spatiotemporal fusion approach
Hit paper breakdown →
202536
5 201921
6 202421
7 201915
8 201715
9 201714
10 202312
11 201911
12 202210
13 20188
14 20237
15 20256
16 20245
17 20235
18 20175
19 20243
20 20173

About Ning Xin

Ning Xin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 348 indexed citations. Recurring topics across this work include Satellite Communication Systems (8 papers), IoT and Edge/Fog Computing (4 papers), Age of Information Optimization (4 papers), IoT Networks and Protocols (3 papers), Advanced Optical Network Technologies (3 papers), Underwater Vehicles and Communication Systems (2 papers), Blockchain Technology Applications and Security (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (157 citations), Aerospace Engineering (114 citations), Electrical and Electronic Engineering (114 citations), Control and Systems Engineering (39 citations) and Artificial Intelligence (51 citations). Ning Xin has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Prayag Tiwari, Haitao Li, Jiang Liu, Liang Liu, Jincheng Tong, Ran Zhang, Zehui Xiong, Yudong Huang, Xinyuan Zhang and Bing Wang. Their work appears in journals such as IEEE Access, Sensors, IEEE Transactions on Mobile Computing, Information Sciences and Computers & Industrial Engineering.

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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