Bing Luo

994 total citations · 1 hit paper
45 papers, 681 citations indexed

About

Bing Luo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Bing Luo has authored 45 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 26 papers in Electrical and Electronic Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Bing Luo's work include Advanced MIMO Systems Optimization (13 papers), Privacy-Preserving Technologies in Data (11 papers) and Cloud Computing and Resource Management (10 papers). Bing Luo is often cited by papers focused on Advanced MIMO Systems Optimization (13 papers), Privacy-Preserving Technologies in Data (11 papers) and Cloud Computing and Resource Management (10 papers). Bing Luo collaborates with scholars based in China, United States and Australia. Bing Luo's co-authors include Shiqiang Wang, Leandros Tassiulas, Jianwei Huang, Xiang Li, Weisong Shi, Qimei Cui, Xiang Li, Xiaofeng Tao, Xueqing Huang and Congfeng Jiang and has published in prestigious journals such as Advanced Functional Materials, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.

In The Last Decade

Bing Luo

40 papers receiving 674 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling

2022 137 citations Bing Luo, Shiqiang Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bing Luo China	14	386	332	222	142	85	45	681
Zhiyuan Wang China	12	424 1.1×	199 0.6×	84 0.4×	104 0.7×	62 0.7×	38	580
Gildas Avoine Belgium	13	211 0.5×	333 1.0×	108 0.5×	310 2.2×	20 0.2×	33	618
Chenyuan Feng China	11	353 0.9×	224 0.7×	187 0.8×	85 0.6×	41 0.5×	41	532
Emre Özfatura United Kingdom	12	420 1.1×	317 1.0×	189 0.9×	37 0.3×	45 0.5×	23	606
Mingyue Ji United States	19	289 0.7×	1.4k 4.2×	504 2.3×	52 0.4×	21 0.2×	108	1.6k
Yibo Jin China	11	153 0.4×	238 0.7×	73 0.3×	88 0.6×	50 0.6×	38	457
Aunas Manzoor South Korea	9	228 0.6×	173 0.5×	168 0.8×	81 0.6×	102 1.2×	17	437
Erik Tews Germany	10	240 0.6×	157 0.5×	102 0.5×	144 1.0×	9 0.1×	23	446
Moreno Ambrosin Italy	13	431 1.1×	489 1.5×	105 0.5×	172 1.2×	10 0.1×	22	726
Andra Lutu Spain	13	100 0.3×	324 1.0×	216 1.0×	31 0.2×	14 0.2×	58	469

Countries citing papers authored by Bing Luo

Since Specialization

Citations

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

Fields of papers citing papers by Bing Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Luo

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

All Works

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20 of 20 papers shown

1.

Wang, Yuanyuan, Zhihao Wang, Gang� Li, et al.. (2025). Dense Dual‐Phase Nickel‐Cobalt Selenide Heterointerfaces Unlocking Energy‐Minimized High‐Flux 5‐Hydroxymethylfurfural Electroreforming by Regulated Feedstock Capture and Processing. Advanced Functional Materials. 36(18).

2.

Hou, Yanzhao, et al.. (2024). Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling. 35. 944–949.

3.

Luo, Bing, et al.. (2024). Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics. 377–378.

4.

Luo, Bing, et al.. (2024). Adaptive Heterogeneous Client Sampling for Federated Learning Over Wireless Networks. IEEE Transactions on Mobile Computing. 23(10). 9663–9677. 4 indexed citations

5.

Hu, Chuang, et al.. (2024). PriFairFed: A Local Differentially Private Federated Learning Algorithm for Client-Level Fairness. IEEE Transactions on Mobile Computing. 24(5). 3993–4005.

6.

Jia, Juncheng, et al.. (2024). Federated Unlearning with Multiple Client Partitions. 5190–5195.

7.

Wang, Shuo, et al.. (2024). Tackling System-Induced Bias in Federated Learning: A Pricing-Based Incentive Mechanism. 902–912. 1 indexed citations

8.

Luo, Bing, Xiang Li, Shiqiang Wang, Jianwei Huang, & Leandros Tassiulas. (2021). Cost-Effective Federated Learning Design. 1–10. 156 indexed citations

9.

Lu, Sidi, Bing Luo, Tirthak Patel, et al.. (2020). Making Disk Failure Predictions SMARTer. File and Storage Technologies. 151–167. 33 indexed citations

10.

Luo, Bing, Phee Lep Yeoh, Robert Schober, & Brian Krongold. (2019). Optimal Energy Beamforming for Distributed Wireless Power Transfer Over Frequency-Selective Channels. 6 indexed citations

11.

Luo, Bing, Wei Chen, Xingxing Liu, et al.. (2019). Pelican: Power Scheduling for QoS in Large-scale Data Centers with Heterogeneous Workloads. 1–8. 1 indexed citations

12.

Luo, Bing, Phee Lep Yeoh, & Brian Krongold. (2017). Optimal co-phasing power allocation for coordinated OFDM transmission. 1–6. 5 indexed citations

13.

Jiang, Congfeng, Yumei Wang, Youhuizi Li, et al.. (2017). Energy efficiency comparison of hypervisors. Sustainable Computing Informatics and Systems. 22. 311–321. 30 indexed citations

14.

Jiang, Congfeng, et al.. (2017). Energy Proportional Servers: Where Are We in 2016?. 1649–1660. 17 indexed citations

15.

Luo, Bing, et al.. (2015). Application configuration selection for energy-efficient execution on multicore systems. Journal of Parallel and Distributed Computing. 87. 43–54. 7 indexed citations

16.

Luo, Bing, William Liu, & Adnan Al‐Anbuky. (2013). Energy aware survivable routing approaches for Next Generation Networks. 57. 160–165. 1 indexed citations

17.

Chen, Hui, Bing Luo, & Weisong Shi. (2012). Anole: A Case for Energy-Aware Mobile Application Design. 232–238. 12 indexed citations

18.

Luo, Bing, Qimei Cui, & Xiaofeng Tao. (2011). Constant-Power Joint-Waterfilling for Coordinated Transmission. 1–6. 2 indexed citations

19.

Luo, Bing, et al.. (2010). Optimal Joint Water-Filling for OFDM Systems with Multiple Cooperative Power Sources. 1. 1–5. 14 indexed citations

20.

Luo, Bing & Chris Jesshope. (2002). Performance of a micro-threaded pipeline. 24(3). 83–90. 2 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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