Nan Sha

488 citations
58 papers · 365 · h-index 11

Impact in

Papers in

Nan Sha

53 papers receiving 358 citations

Peers

Nan Sha
Comparison fields: 5 of 54
  • Cancer Research 57
  • Computer Networks and Communications 90
  • Electrical and Electronic Engineering 188
  • Aerospace Engineering 56
  • Neurology 23
Replace Rahul Gupta with:
Rahul Gupta India
Chih-Hao Chao Taiwan
Dongfeng Yuan China
K. Jayanthi India
Jinshi Liu China
Younis Ibrahim Canada
Jiaxing He China
Walid Abdallah Tunisia
Yuzhou Hu China
Abhishek Sethi United States
Nan Sha relative to Rahul Gupta India Rahul Gupta's profile →
Citations per field
00.5×11.5×
Rahul Gupta · 1×
Citations per year

Countries citing papers authored by Nan Sha

Since Specialization
Citations

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

Fields of papers citing papers by Nan Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201556
2
A giant pelvic malignant schwannoma: a case report and literature review.
201525
3 201916
4 202016
5 201916
6 202215
7 201713
8 201912
9 201611
10 201111
11 202010
12 20159
13 20199
14 20189
15 20228
16 20228
17 20178
18 20127
19 20237
20 20167

About Nan Sha

Nan Sha is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Surgery, Aerospace Engineering and Artificial Intelligence, having authored 58 papers that have together received 365 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (28 papers), Cooperative Communication and Network Coding (22 papers), Advanced Wireless Communication Technologies (16 papers), Advanced MIMO Systems Optimization (15 papers), Full-Duplex Wireless Communications (11 papers), Energy Harvesting in Wireless Networks (7 papers), Bladder and Urothelial Cancer Treatments (6 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Cancer Research (57 citations), Computer Networks and Communications (90 citations), Electrical and Electronic Engineering (188 citations), Aerospace Engineering (56 citations) and Neurology (23 citations). Nan Sha has collaborated with scholars based in China, Egypt and United States. Frequent co-authors include Changli Wu, Hao Xu, Linguo Xie, Zhouliang Wu, Hailong Hu, Wanqin Xie, Xiaochen Xia, Kui Xu, Yu Zhang and Weiwei Yang. Their work appears in journals such as IEEE Access, OncoTargets and Therapy, IEEE Open Journal of the Communications Society, Physical Communication and EURASIP Journal on Wireless Communications and Networking.

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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