Jin‐Jun Xiao

2.2k total citations
41 papers, 1.5k citations indexed

About

Jin‐Jun Xiao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jin‐Jun Xiao has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 18 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Jin‐Jun Xiao's work include Distributed Sensor Networks and Detection Algorithms (19 papers), Target Tracking and Data Fusion in Sensor Networks (18 papers) and Speech and Audio Processing (11 papers). Jin‐Jun Xiao is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (19 papers), Target Tracking and Data Fusion in Sensor Networks (18 papers) and Speech and Audio Processing (11 papers). Jin‐Jun Xiao collaborates with scholars based in United States and China. Jin‐Jun Xiao's co-authors include Zhi‐Quan Luo, Andrea Goldsmith, Shuguang Cui, Shuguang Cui, Z.-Q. Luo, Zhi-Quan Luo, Georgios B. Giannakis, Alejandro Ribeiro, Arye Nehorai and H. Vincent Poor and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Jin‐Jun Xiao

40 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin‐Jun Xiao United States	16	1.3k	910	603	166	164	41	1.5k
Zhi-Quan Luo United States	10	913 0.7×	219 0.2×	1.1k 1.9×	329 2.0×	47 0.3×	12	1.5k
Valentine A. Aalo United States	28	1.6k 1.2×	205 0.2×	1.7k 2.8×	223 1.3×	59 0.4×	79	2.0k
Gianmarco Romano Italy	13	507 0.4×	202 0.2×	507 0.8×	208 1.3×	59 0.4×	54	830
Constantino Rago United States	10	443 0.3×	470 0.5×	174 0.3×	171 1.0×	260 1.6×	22	778
Philippe Ciblat France	26	919 0.7×	278 0.3×	1.3k 2.2×	153 0.9×	59 0.4×	129	1.8k
D. Cochran United States	13	294 0.2×	214 0.2×	143 0.2×	235 1.4×	50 0.3×	51	708
Pascal Bianchi France	15	378 0.3×	191 0.2×	273 0.5×	32 0.2×	37 0.2×	66	685
A. Logothetis Sweden	14	248 0.2×	344 0.4×	172 0.3×	135 0.8×	215 1.3×	43	642
Thakshila Wimalajeewa United States	15	363 0.3×	231 0.3×	211 0.3×	97 0.6×	41 0.3×	55	684
Sheng-Yuan Tu United States	14	725 0.6×	399 0.4×	207 0.3×	38 0.2×	106 0.6×	24	1.3k

Countries citing papers authored by Jin‐Jun Xiao

Since Specialization

Citations

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

Fields of papers citing papers by Jin‐Jun Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Jun Xiao. 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 Jin‐Jun Xiao. The network helps show where Jin‐Jun Xiao may publish in the future.

Co-authorship network of co-authors of Jin‐Jun Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Jun Xiao. A scholar is included among the top collaborators of Jin‐Jun Xiao 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 Jin‐Jun Xiao. Jin‐Jun Xiao 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

Pu, Wenqiang, Jin‐Jun Xiao, Tao Zhang, & Zhi‐Quan Luo. (2022). A penalized inequality-constrained approach for robust beamforming with DoF limitation. Signal Processing. 202. 108746–108746. 3 indexed citations

Pu, Wenqiang, et al.. (2020). Evaluation of Joint Auditory Attention Decoding and Adaptive Binaural Beamforming Approach for Hearing Devices with Attention Switching. 8728–8732. 1 indexed citations

Xiao, Jin‐Jun, et al.. (2018). Evaluation of the Penalized Inequality Constrained Minimum Variance Beamformer for Hearing Aids. 58. 3344–3348. 2 indexed citations

Pu, Wenqiang, et al.. (2017). A penalized inequality-constrained minimum variance beamformer with applications in hearing aids. 175–179. 10 indexed citations

Tseng, Hung‐Wei, et al.. (2013). A novel single channel speech enhancement approach by combining Wiener filter and dictionary learning. 87. 8653–8657. 2 indexed citations

Xiao, Jin‐Jun, et al.. (2009). Two-dimensional phase unwrapping using semidefinite relaxation. 21. 1105–1108. 3 indexed citations

Xiao, Jin‐Jun & Arye Nehorai. (2009). Joint Transmitter and Receiver Polarization Optimization for Scattering Estimation in Clutter. IEEE Transactions on Signal Processing. 57(10). 4142–4147. 30 indexed citations

Hurtado, Martín, Jin‐Jun Xiao, & Arye Nehorai. (2009). Target Estimation, Detection, and Tracking. IEEE Signal Processing Magazine. 26(1). 42–52. 49 indexed citations

Xiao, Jin‐Jun & Arye Nehorai. (2008). Polarization optimization for scattering estimation in heavy clutter. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1473–1476. 11 indexed citations

10.

Xiao, Jin‐Jun & Arye Nehorai. (2007). Optimal Beampattern Synthesis of a Polarized Array. 463–467. 3 indexed citations

11.

Cui, Shuguang, Jin‐Jun Xiao, Andrea Goldsmith, Zhi‐Quan Luo, & H. Vincent Poor. (2007). Estimation Diversity and Energy Efficiency in Distributed Sensing. IEEE Transactions on Signal Processing. 55(9). 4683–4695. 214 indexed citations

12.

Xiao, Jin‐Jun & Zhi‐Quan Luo. (2007). Multiterminal Source–Channel Communication Over an Orthogonal Multiple-Access Channel. IEEE Transactions on Information Theory. 53(9). 3255–3264. 48 indexed citations

13.

Xiao, Jin‐Jun, Shuguang Cui, Zhi-Quan Luo, & Andrea Goldsmith. (2006). Power scheduling of universal decentralized estimation in sensor networks. IEEE Transactions on Signal Processing. 54(2). 413–422. 284 indexed citations

14.

Cui, Shuguang, Jin‐Jun Xiao, Andrea Goldsmith, Zhi-Quan Luo, & H. Vincent Poor. (2006). Energy-Efficient Joint Estimation in Sensor Networks: Analog vs. Digital. 4. 745–748. 27 indexed citations

15.

Xiao, Jin‐Jun, et al.. (2006). Minimum Energy Decentralized Estimation in Sensor Network with Correlated Sensor Noise. 3. 673–676. 27 indexed citations

16.

Xiao, Jin‐Jun, Zhi‐Quan Luo, & Nihar Jindal. (2006). CTH16-2: Linear Joint Source-Channel Coding for Gaussian Sources through Fading Channels. Globecom. 1–5. 7 indexed citations

17.

Xiao, Jin‐Jun & Zhi‐Quan Luo. (2006). Optimal Rate Allocation for the Vector Gaussian CEO Problem. 56–59. 8 indexed citations

18.

Xiao, Jin‐Jun, Shuguang Cui, Zhi‐Quan Luo, & Andrea Goldsmith. (2005). Joint estimation in sensor networks under energy constraints. 264–271. 51 indexed citations

19.

Xiao, Jin‐Jun, Zhi‐Quan Luo, Shuguang Cui, & Andrea Goldsmith. (2005). Power-efficient analog forwarding transmission in an inhomogeneous Gaussian sensor network. 2634. 121–125. 23 indexed citations

20.

Xiao, Jin‐Jun, et al.. (2005). Performance bounds for the rate-constrained universal decentralized estimators in sensor networks. 1. 126–130. 1 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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