Zhenhao Ji

587 total citations
13 papers, 35 citations indexed

About

Zhenhao Ji is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Zhenhao Ji has authored 13 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 4 papers in Computer Networks and Communications and 2 papers in Hardware and Architecture. Recurrent topics in Zhenhao Ji's work include Advanced MIMO Systems Optimization (6 papers), Advanced Wireless Communication Techniques (4 papers) and Energy Harvesting in Wireless Networks (3 papers). Zhenhao Ji is often cited by papers focused on Advanced MIMO Systems Optimization (6 papers), Advanced Wireless Communication Techniques (4 papers) and Energy Harvesting in Wireless Networks (3 papers). Zhenhao Ji collaborates with scholars based in China and Bangladesh. Zhenhao Ji's co-authors include Xiaohu You, Chuan Zhang, Zaichen Zhang, Yongming Huang, Xiaosi Tan, Jiamin Li, Pengcheng Zhu, Dongming Wang, You You and X. Grant Chen and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Vehicular Technology and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Zhenhao Ji

11 papers receiving 35 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhenhao Ji China	3	22	8	7	4	3	13	35
R. McCroskey United States	2	27 1.2×	8 1.0×	19 2.7×	2 0.5×	3 1.0×	2	31
Feng Xiong China	3	13 0.6×	14 1.8×	4 0.6×	3 0.8×	1 0.3×	11	27
Ganghua Yang China	3	21 1.0×	4 0.5×	9 1.3×	4 1.0×	3 1.0×	9	32
Hannes Sakulin Austria	4	12 0.5×	9 1.1×	3 0.4×	2 0.5×	1 0.3×	15	36
T. Baumgartner Austria	3	14 0.6×	11 1.4×	4 0.6×		2 0.7×	4	16
Theodore S. Rappaport United States	2	29 1.3×	11 1.4×	5 0.7×	1 0.3×		4	32
Caixia Cao China	3	22 1.0×	5 0.6×	32 4.6×	2 0.5×		8	44
Shubhabrata Mukherjee United States	4	13 0.6×	11 1.4×	6 0.9×	3 0.8×	1 0.3×	6	24
E. Davies United Kingdom	3	13 0.6×	22 2.8×	3 0.4×	5 1.3×	1 0.3×	5	35

Countries citing papers authored by Zhenhao Ji

Since Specialization

Citations

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

Fields of papers citing papers by Zhenhao Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenhao Ji

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

13 of 13 papers shown

1.

Ji, Zhenhao, et al.. (2024). Flexible High-Level Synthesis Library for Linear Transformations. IEEE Transactions on Circuits & Systems II Express Briefs. 71(7). 3348–3352. 2 indexed citations

2.

Tan, Xiaosi, et al.. (2024). A Deep-Learning-Aided Message Passing Detector for MIMO SC-FDMA. IEEE Transactions on Vehicular Technology. 73(7). 10767–10771.

3.

Ji, Zhenhao, et al.. (2024). Approximate Belief-Selective Propagation Detector for Massive MIMO Systems. IEEE Transactions on Circuits and Systems I Regular Papers. 71(6). 2938–2950. 2 indexed citations

4.

Ji, Zhenhao, et al.. (2023). Performance Analysis and Optimization of Network-Assisted Full-Duplex Systems Under Low-Resolution ADCs. IEEE Systems Journal. 17(2). 2628–2639. 4 indexed citations

5.

Ji, Zhenhao, et al.. (2023). Automatic Timing-Driven Top-Level Hardware Design for Digital Signal Processing. 1–4. 1 indexed citations

6.

Ji, Zhenhao, et al.. (2023). Automatic Hybrid-Precision Quantization for MIMO Detectors. IEEE Transactions on Signal Processing. 71. 1039–1052. 9 indexed citations

7.

Tan, Xiaosi, et al.. (2023). An Improved Power Expectation Propagation Detector for Massive MIMO Systems. IEEE Transactions on Vehicular Technology. 73(1). 1353–1357. 2 indexed citations

8.

Ji, Zhenhao, et al.. (2023). Hardware Implementation of Chromatic Dispersion Compensation in Finite Fields. 1–4. 2 indexed citations

9.

Tan, Xiaosi, et al.. (2023). Approximate Message Passing MIMO Detector With Frequency Domain Initialization for SC-FDMA. IEEE Transactions on Vehicular Technology. 73(4). 4801–4813.

10.

Ji, Zhenhao, et al.. (2021). PCCR Based Wheelchair Control System [Society News]. IEEE Circuits and Systems Magazine. 21(3). 79–84. 1 indexed citations

11.

Wang, Dongming, Chuan Zhang, Zhenhao Ji, et al.. (2021). Live Demonstration: A Cloud-Based Cell-Free Distributed Massive MIMO System. 1–1. 2 indexed citations

12.

Tan, Xiaosi, et al.. (2021). Improving Approximate Expectation Propagation Massive MIMO Detector With Deep Learning. IEEE Wireless Communications Letters. 10(10). 2145–2149. 8 indexed citations

13.

Ji, Zhenhao, et al.. (2019). A New Uplink Channel Estimation Architecture for Massive MIMO Systems with PDMA. 1–4. 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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