Liqun Su

410 total citations
7 papers, 321 citations indexed

About

Liqun Su is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Liqun Su has authored 7 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Liqun Su's work include Privacy-Preserving Technologies in Data (6 papers), Stochastic Gradient Optimization Techniques (4 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). Liqun Su is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Stochastic Gradient Optimization Techniques (4 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). Liqun Su collaborates with scholars based in Hong Kong and China. Liqun Su's co-authors include Vincent K. N. Lau, Nanqi Huang, Lin Xiao, Guang‐Rong Yan, Xuejuan Liu, Weixiang Liang, Haining Gan, Jinshan Zhang, Dongzhi Cen and Kun Wang and has published in prestigious journals such as Molecular Therapy and IEEE Internet of Things Journal.

In The Last Decade

Liqun Su

7 papers receiving 316 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Liqun Su Hong Kong	5	203	183	71	43	40	7	321
Li-Yuan Chang Taiwan	10	269 1.3×	362 2.0×	22 0.3×	86 2.0×	13 0.3×	15	549
Xingru Li China	11	130 0.6×	58 0.3×	26 0.4×	124 2.9×	16 0.4×	26	314
Xingjian Cao China	9	99 0.5×	107 0.6×	53 0.7×	250 5.8×	16 0.4×	27	457
Arun Kumar Arunachalam India	7	72 0.4×	45 0.2×	25 0.4×	40 0.9×	18 0.5×	33	246
Yongheng Liu China	11	115 0.6×	56 0.3×	59 0.8×	57 1.3×	21 0.5×	29	334
Jianan Lou China	7	96 0.5×	165 0.9×	17 0.2×	125 2.9×	27 0.7×	21	389
Samaneh Rostami Iran	7	151 0.7×	62 0.3×	14 0.2×	115 2.7×	10 0.3×	10	324
Jennifer Y. Tong United States	7	54 0.3×	65 0.4×	15 0.2×	74 1.7×	102 2.5×	8	340
Joshua M. Staley United States	7	124 0.6×	40 0.2×	10 0.1×	26 0.6×	35 0.9×	18	294
Keshu Liu China	8	131 0.6×	157 0.9×	7 0.1×	307 7.1×	36 0.9×	13	555

Countries citing papers authored by Liqun Su

Since Specialization

Citations

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

Fields of papers citing papers by Liqun Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liqun Su

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Su, Liqun & Vincent K. N. Lau. (2023). Accelerated Federated Learning Over Wireless Fading Channels With Adaptive Stochastic Momentum. IEEE Internet of Things Journal. 11(8). 14136–14152. 1 indexed citations

2.

Su, Liqun & Vincent K. N. Lau. (2022). Decentralized Sensor Scheduling, Bandwidth Allocation, and Dynamic Quantization for FL Under Hybrid Data Partitioning. IEEE Internet of Things Journal. 9(21). 21214–21231. 1 indexed citations

3.

Xue, Ye, Liqun Su, & Vincent K. N. Lau. (2022). FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning. IEEE Internet of Things Journal. 9(19). 19330–19345. 20 indexed citations

4.

Su, Liqun, et al.. (2022). Robust Federated Learning Over Noisy Fading Channels. IEEE Internet of Things Journal. 10(9). 7993–8013. 11 indexed citations

5.

Su, Liqun & Vincent K. N. Lau. (2021). Data and Channel-Adaptive Sensor Scheduling for Federated Edge Learning via Over-the-Air Gradient Aggregation. IEEE Internet of Things Journal. 9(3). 1640–1654. 25 indexed citations

6.

Su, Liqun & Vincent K. N. Lau. (2021). Hierarchical Federated Learning for Hybrid Data Partitioning Across Multitype Sensors. IEEE Internet of Things Journal. 8(13). 10922–10939. 29 indexed citations

7.

Xiao, Lin, Dongzhi Cen, Haining Gan, et al.. (2019). Adoptive Transfer of NKG2D CAR mRNA-Engineered Natural Killer Cells in Colorectal Cancer Patients. Molecular Therapy. 27(6). 1114–1125. 234 indexed citations

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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