Honglan Jiang

2.3k citations
45 papers · 1.6k indexed · h-index 17
Topics
Low-power high-performance VLSI design (22 papers)Advancements in Semiconductor Devices and Circuit Design (14 papers)Numerical Methods and Algorithms (9 papers)
Journals
SHILAP Revista de lepidopterologíaProceedings of the IEEEJournal of The Electrochemical Society
Partner nations
ChinaCanadaUnited States

In The Last Decade

Honglan Jiang

41 papers receiving 1.6k citations

Peers

Honglan Jiang
Comparison fields: 5 of 59
  • Electrical and Electronic Engineering 1.4k
  • Biomedical Engineering 597
  • Hardware and Architecture 393
  • Computational Theory and Mathematics 334
  • Artificial Intelligence 186
Replace Mehdi Kamal with:
Mehdi Kamal Iran
Marco Lanuzza Italy
Robert K. Montoye United States
M.I. Elmasry Canada
Hamid Mahmoodi United States
Santosh Kumar Vishvakarma India
Marisa López‐Vallejo Spain
James E. Stine United States
S.M. Fakhraie Iran
Jeremy Holleman United States
Honglan Jiang relative to Mehdi Kamal Iran Mehdi Kamal's profile →
Citations per field
00.5×1.5×
Mehdi Kamal · 1×
Citations per year

Countries citing papers authored by Honglan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Honglan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honglan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Honglan Jiang. A scholar is included among the top collaborators of Honglan Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Honglan Jiang. Honglan Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 0
6 2
7 1
8 4
9 13
10 4
11 0
12 3
13 10
14 202
15 4
16 163
17 40
18 36
19 45
20 130

About Honglan Jiang

Honglan Jiang is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Sensory Systems, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (22 papers), Advancements in Semiconductor Devices and Circuit Design (14 papers) and Numerical Methods and Algorithms (9 papers). The work is most often cited by research in Hardware and Architecture (393 citations), Electrical and Electronic Engineering (1.4k citations) and Computational Theory and Mathematics (334 citations). Honglan Jiang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jie Han, Fabrizio Lombardi, Leibo Liu, Mohammad Saeed Ansari, B.F. Cockburn, Weiqiang Liu, Fei Qiao, Chenghua Wang, Xiaoliang Guo and Cong Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Journal of The Electrochemical Society.

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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