Lixin Su

530 citations
10 papers · 244 indexed · 3 hit papers · h-index 6
Topics
VLSI and FPGA Design Techniques (4 papers)Topic Modeling (4 papers)Parallel Computing and Optimization Techniques (3 papers)

In The Last Decade

Lixin Su

9 papers receiving 241 citations

Hit Papers

LLMRec: Large Language Models with Graph Augmentation for...202420262025202420242024255075

Peers

Lixin Su
Comparison fields: 5 of 37
  • Artificial Intelligence 173
  • Information Systems 122
  • Computer Vision and Pattern Recognition 50
  • Computer Networks and Communications 24
  • Hardware and Architecture 19
Replace Ivan Visconti with:
Ivan Visconti Italy
Daniel S. Dantas United States
Songpon Teerakanok Japan
Mayank Rathee India
Qingchao Cai Singapore
Suqi Cheng China
Mingda Li China
Changting Lin China
Do Le Quoc Germany
Konstantinos Limniotis Greece
Lixin Su relative to Ivan Visconti Italy Ivan Visconti's profile →
Citations per field
00.5×10×20×30×37.8×
Ivan Visconti · 1×
Citations per year

Countries citing papers authored by Lixin Su

Since Specialization
Citations

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

Fields of papers citing papers by Lixin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixin Su

This figure shows the co-authorship network connecting the top 25 collaborators of Lixin Su. A scholar is included among the top collaborators of Lixin Su 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 Lixin Su. Lixin Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2
LLMRec: Large Language Models with Graph Augmentation for Recommendationbreakdown →
87
3 8
4
GraphGPT: Graph Instruction Tuning for Large Language Modelsbreakdown →
57
5
Representation Learning with Large Language Models for Recommendationbreakdown →
69
6 8
7 1
8 7
9 4
10 3

About Lixin Su

Lixin Su is a scholar working on Hardware and Architecture, Artificial Intelligence and Information Systems, having authored 10 papers that have together received 244 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (4 papers), Topic Modeling (4 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Information Systems (122 citations), Artificial Intelligence (173 citations) and Hardware and Architecture (19 citations). Lixin Su has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Suqi Cheng, Chao Huang, Dawei Yin, Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lianghao Xia, Yuhao Yang and A. Richard Newton. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Information Systems and The HKU Scholars Hub (University of Hong Kong).

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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