Li Zang

5.1k citations
155 papers · 3.8k · h-index 29

Impact in

Papers in

Li Zang

148 papers receiving 3.6k citations

Peers

Li Zang
Comparison fields: 5 of 167
  • Computer Networks and Communications 1.0k
  • Genetics 316
  • Media Technology 198
  • Endocrinology, Diabetes and Metabolism 297
  • Electrical and Electronic Engineering 1.1k
Replace Yutaka Ishibashi with:
Yutaka Ishibashi Japan
Weijie Yuan China
Diego R. Martín United States
Zhihui Lu China
Farrukh Aslam Khan Saudi Arabia
Huan Xuan Nguyen United Kingdom
Yi Guo China
Levente Kovács Hungary
Johnson Ihyeh Agbinya Australia
Farman Ali South Korea
Li Zang relative to Yutaka Ishibashi Japan Yutaka Ishibashi's profile →
Citations per field
00.5×2×4×6×7.9×
Yutaka Ishibashi · 1×
Citations per year

Countries citing papers authored by Li Zang

Since Specialization
Citations

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

Fields of papers citing papers by Li Zang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robust statistical methods for securing wireless localization in sensor networks
2005351
2 2014228
3 2011220
4 2005207
5 2007152
6 2010140
7 2015135
8 2006134
9 2010116
10 2009112
11 2017100
12 201887
13 202083
14 201978
15 201561
16 200759
17 202258
18 202054
19 201047
20 201847

About Li Zang

Li Zang is a scholar working on Endocrinology, Diabetes and Metabolism, Information Systems, Genetics, Surgery and Artificial Intelligence, having authored 155 papers that have together received 3.8k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (10 papers), Mesenchymal stem cell research (9 papers), Pancreatic function and diabetes (8 papers), Adrenal and Paraganglionic Tumors (8 papers), Indoor and Outdoor Localization Technologies (8 papers), Wireless Communication Security Techniques (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Chaos-based Image/Signal Encryption (7 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Genetics (316 citations), Media Technology (198 citations), Endocrinology, Diabetes and Metabolism (297 citations) and Electrical and Electronic Engineering (1.1k citations). Li Zang has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Wade K. Trappe, Chao‐Hsien Chu, Wen Yao, Yanyong Zhang, Roy D. Yates, Badri Nath, Yiming Mu, Bishal Kumar Nath, Jiejie Liu and Weidong Han. Their work appears in journals such as Frontiers in Endocrinology, Medicine, Journal of Zhejiang University SCIENCE B, Cytotherapy and Journal of Diabetes.

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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