Haode Yan

528 citations
30 papers · 361 · h-index 12

Impact in

Papers in

Haode Yan

29 papers receiving 344 citations

Peers

Haode Yan
Comparison fields: 5 of 18
  • Discrete Mathematics and Combinatorics 63
  • Artificial Intelligence 355
  • Computational Theory and Mathematics 79
  • Electrical and Electronic Engineering 210
  • Computer Networks and Communications 66
Replace Ziran Tu with:
Ziran Tu China
Diego Ruano Spain
Kangquan Li China
Zhengbang Zha China
Hongwei Liu China
Carl Bracken Ireland
Cem Güneri̇ Türkiye
Heeralal Janwa Puerto Rico
Yann Laigle-Chapuy France
Dabin Zheng China
Haode Yan relative to Ziran Tu China Ziran Tu's profile →
Citations per field
00.5×1.6×
Ziran Tu · 1×
Citations per year

Countries citing papers authored by Haode Yan

Since Specialization
Citations

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

Fields of papers citing papers by Haode Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201841
2 201835
3 202131
4 201827
5 201726
6 201726
7 201923
8 201921
9 201418
10 202115
11 202114
12 202213
13 20228
14 20157
15 20227
16 20197
17 20156
18 20166
19 20176
20 20144

About Haode Yan

Haode Yan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Discrete Mathematics and Combinatorics, Computer Networks and Communications and Geometry and Topology, having authored 30 papers that have together received 361 indexed citations. Recurring topics across this work include Coding theory and cryptography (29 papers), graph theory and CDMA systems (21 papers), Cryptographic Implementations and Security (13 papers), Finite Group Theory Research (8 papers), Cooperative Communication and Network Coding (3 papers), Cellular Automata and Applications (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (63 citations), Artificial Intelligence (355 citations), Computational Theory and Mathematics (79 citations), Electrical and Electronic Engineering (210 citations) and Computer Networks and Communications (66 citations). Haode Yan has collaborated with scholars based in China, Hong Kong and Norway. Frequent co-authors include Maosheng Xiong, Chengju Li, Zhengchun Zhou, Chunlei Liu, Hao Liu, Shudi Yang, Pingzhi Yuan, Xiaoni Du, Tor Helleseth and Yan Liu. Their work appears in journals such as Designs Codes and Cryptography, Cryptography and Communications, Advances in Mathematics of Communications, Finite Fields and Their Applications and IEEE Transactions on Information Theory.

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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