Xin Su

127 papers receiving 1.7k citations

Xin Su's Hit Papers

Integration of data science with the intelligent IoT (IIoT): Current challenges and future perspectives 2024 · 52 citations
520+1Years since publication1020304050

Peers

Xin Su
Comparison fields: 5 of 110
  • Ocean Engineering 347
  • Energy Engineering and Power Technology 63
  • Computer Networks and Communications 461
  • Electrical and Electronic Engineering 851
  • Aerospace Engineering 361
Replace Shuping Dang with:
Shuping Dang United Kingdom
Zakria Qadir Australia
Seung‐Woo Seo South Korea
Bing Wang China
Turki Ali Alghamdi Saudi Arabia
Liang Dong China
Yong Zhou China
Qiyue Li China
Ahmed Shaharyar Khwaja Canada
Jianhua Liu China
Xin Su relative to Shuping Dang United Kingdom Shuping Dang's profile →
Citations per field
00.5×4.2×
Shuping Dang · 1×
Citations per year

Countries citing papers authored by Xin Su

Since Specialization
Citations

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

Fields of papers citing papers by Xin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020145
2 2019130
3 2019116
4 201983
5 201960
6 201659
7 202452
8
Integration of data science with the intelligent IoT (IIoT): Current challenges and future perspectives
Hit paper breakdown →
202452
9 202051
10 202251
11 201848
12 202341
13 202039
14 201339
15 202037
16 201332
17 202324
18 201724
19 202522
20 201722

About Xin Su

Xin Su is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence and Information Systems, having authored 136 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (18 papers), Wireless Communication Networks Research (11 papers), Energy Load and Power Forecasting (11 papers), Underwater Vehicles and Communication Systems (10 papers), IoT and Edge/Fog Computing (9 papers), Privacy-Preserving Technologies in Data (9 papers), Antenna Design and Analysis (8 papers) and Aluminum Alloy Microstructure Properties (8 papers). The work is most often cited by research in Ocean Engineering (347 citations), Energy Engineering and Power Technology (63 citations), Computer Networks and Communications (461 citations), Electrical and Electronic Engineering (851 citations) and Aerospace Engineering (361 citations). Xin Su has collaborated with scholars based in China, South Korea and Italy. Frequent co-authors include Chang Choi, Inam Ullah, Christian Esposito, Dongmin Choi, Xiaofeng Liu, Mao Yang, Jingyi Chen, Yiming Liu, KyungHi Chang and Pankoo Kim. Their work appears in journals such as IEEE Access, Digital Communications and Networks, IEEE Transactions on Industrial Informatics, IEEE Consumer Electronics Magazine and Frontiers in Energy Research.

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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