Yacong Ding

420 total citations
14 papers, 274 citations indexed

About

Yacong Ding is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Signal Processing. According to data from OpenAlex, Yacong Ding has authored 14 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 7 papers in Computational Mechanics and 4 papers in Signal Processing. Recurrent topics in Yacong Ding's work include Sparse and Compressive Sensing Techniques (7 papers), Advanced MIMO Systems Optimization (7 papers) and Millimeter-Wave Propagation and Modeling (5 papers). Yacong Ding is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Advanced MIMO Systems Optimization (7 papers) and Millimeter-Wave Propagation and Modeling (5 papers). Yacong Ding collaborates with scholars based in United States, Netherlands and Japan. Yacong Ding's co-authors include Bhaskar D. Rao, Pu Wang, Toshiaki Koike‐Akino, Philip V. Orlik, Milutin Pajovic, Kyeong Jin Kim, Hyukjoon Kwon, Jing Liu and Kee-Bong Song and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Communications Letters and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Yacong Ding

13 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yacong Ding United States	7	246	72	47	43	38	14	274
Zhengdao Yuan China	8	285 1.2×	92 1.3×	36 0.8×	58 1.3×	36 0.9×	19	335
Bo Gong China	10	285 1.2×	47 0.7×	47 1.0×	91 2.1×	21 0.6×	21	316
Janis Werner Finland	10	279 1.1×	130 1.8×	28 0.6×	92 2.1×	90 2.4×	25	341
Shengchu Wang China	9	328 1.3×	54 0.8×	22 0.5×	120 2.8×	18 0.5×	16	359
Takumi Takahashi Japan	11	344 1.4×	93 1.3×	24 0.5×	138 3.2×	19 0.5×	62	384
Guido Dietl Germany	11	309 1.3×	31 0.4×	47 1.0×	203 4.7×	56 1.5×	54	355
Ahmet Gokceoglu Finland	11	287 1.2×	53 0.7×	24 0.5×	143 3.3×	15 0.4×	23	324
Stephan Saur Germany	10	269 1.1×	110 1.5×	13 0.3×	136 3.2×	34 0.9×	17	316
João Guerreiro Portugal	13	417 1.7×	68 0.9×	15 0.3×	83 1.9×	22 0.6×	73	446
S. Niranjayan Canada	12	303 1.2×	136 1.9×	23 0.5×	90 2.1×	21 0.6×	30	343

Countries citing papers authored by Yacong Ding

Since Specialization

Citations

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

Fields of papers citing papers by Yacong Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yacong Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yacong Ding. A scholar is included among the top collaborators of Yacong Ding 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 Yacong Ding. Yacong Ding 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:

14 of 14 papers shown

Kwon, Hyukjoon, et al.. (2021). Learning-aided joint time-frequency channel estimation for 5G new radio. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6.

Ding, Yacong & Hyukjoon Kwon. (2020). Doppler Spread Estimation for 5G NR with Supervised Learning. 1–7. 6 indexed citations

Liu, Jing, Yacong Ding, & Bhaskar D. Rao. (2019). Sparse Bayesian Learning for Robust PCA. 3 indexed citations

Ding, Yacong, et al.. (2018). Bayesian Channel Estimation Algorithms for Massive MIMO Systems With Hybrid Analog-Digital Processing and Low-Resolution ADCs. IEEE Journal of Selected Topics in Signal Processing. 12(3). 499–513. 55 indexed citations

Ding, Yacong & Bhaskar D. Rao. (2018). Dictionary Learning-Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems. IEEE Transactions on Wireless Communications. 17(8). 5437–5451. 93 indexed citations

Ding, Yacong, et al.. (2018). Millimeter Wave Channel Estimation using Data-Aided DoA Estimation. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 1567–1571. 2 indexed citations

Ding, Yacong. (2018). Channel Estimation for Massive MIMO Systems Based on Sparse Representation and Sparse Signal Recovery. eScholarship (California Digital Library). 2 indexed citations

Ding, Yacong, Kyeong Jin Kim, Toshiaki Koike‐Akino, et al.. (2017). Spatial Scattering Modulation for Uplink Millimeter-Wave Systems. IEEE Communications Letters. 21(7). 1493–1496. 54 indexed citations

Ding, Yacong, et al.. (2017). Sparse recovery with quantized multiple measurement vectors. 845–849. 3 indexed citations

10.

Ding, Yacong, Kyeong Jin Kim, Toshiaki Koike‐Akino, et al.. (2017). Millimeter wave adaptive transmission using spatial scattering modulation. 1–6. 8 indexed citations

11.

Ding, Yacong & Bhaskar D. Rao. (2015). Channel estimation using joint dictionary learning in FDD massive MIMO systems. 185–189. 22 indexed citations

12.

Ding, Yacong & Bhaskar D. Rao. (2015). Joint dictionary learning and recovery algorithms in a jointly sparse framework. 1. 1482–1486. 7 indexed citations

13.

Ding, Yacong & Bhaskar D. Rao. (2015). Compressed Downlink Channel Estimation Based on Dictionary Learning in FDD Massive MIMO Systems. 2015 IEEE Global Communications Conference (GLOBECOM). 1–6. 18 indexed citations

14.

Ding, Yacong & Bhaskar D. Rao. (2014). Compressed Downlink Channel Estimation Based on Dictionary Learning in FDD Massive MIMO Systems. 2015 IEEE Global Communications Conference (GLOBECOM). 54. 1–6. 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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