Jiawei Su

654 citations
14 papers · 164 · h-index 6

Impact in

Papers in

    • Receptor Mechanisms and Signaling 2
    • Glycosylation and Glycoproteins Research 1
    • Adversarial Robustness in Machine Learning 2
    • Anomaly Detection Techniques and Applications 2

Jiawei Su

13 papers receiving 161 citations

Peers

Jiawei Su
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 47
  • Signal Processing 18
  • Artificial Intelligence 40
  • Biological Psychiatry 2
  • Media Technology 7
Replace Ruhui Liu with:
Ruhui Liu China
Jaewoo Park South Korea
Jamal Mustafa Al-Tuwaijari Iraq
Boris Flach Germany
Jiadong Lin China
Michael Hund Germany
Avdesh Mishra United States
Jason Dong United States
Oliver Rippel Germany
Qingxu Liu China
Jiawei Su relative to Ruhui Liu China Ruhui Liu's profile →
Citations per field
00.5×
Ruhui Liu · 1×
Citations per year

Countries citing papers authored by Jiawei Su

Since Specialization
Citations

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

Fields of papers citing papers by Jiawei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201938
2 202334
3 201330
4 202224
5 201812
6 20165
7 20235
8 20235
9 20253
10 20233
11 20252
12 20182
13 20221
14 20250

About Jiawei Su

Jiawei Su is a scholar working on Molecular Biology, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing, having authored 14 papers that have together received 164 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Receptor Mechanisms and Signaling (2 papers), Network Security and Intrusion Detection (2 papers), Advanced Malware Detection Techniques (2 papers), Trypanosoma species research and implications (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (47 citations), Signal Processing (18 citations), Artificial Intelligence (40 citations), Biological Psychiatry (2 citations) and Media Technology (7 citations). Jiawei Su has collaborated with scholars based in China, Japan and Czechia. Frequent co-authors include Kouichi Sakurai, Danilo Vargas, Yan Zhao, Ning Liu, Hefeng Wu, Xiaonan Luo, Jun Zhao, Di Wu, Feng Zhou and Na Li. Their work appears in journals such as Nature Communications, Gene, EClinicalMedicine, Nature Structural & Molecular Biology and Knowledge-Based Systems.

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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