Yinqi Tang

1.1k total citations · 1 hit paper
12 papers, 732 citations indexed

About

Yinqi Tang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yinqi Tang has authored 12 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yinqi Tang's work include Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and CCD and CMOS Imaging Sensors (3 papers). Yinqi Tang is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and CCD and CMOS Imaging Sensors (3 papers). Yinqi Tang collaborates with scholars based in United States and China. Yinqi Tang's co-authors include Naveen Verma, Hossein Valavi, Hongyang Jia, Peter Deaville, Jintao Zhang, Bonan Zhang, Rakshit Pathak, Jinseok Lee, Jinseok Lee and Dawu Gu and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Yinqi Tang

12 papers receiving 717 citations

Hit Papers

align trajectories sort by overperformance

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.

In-Memory Computing: Advances and Prospects

2019 269 citations Naveen Verma, Hongyang Jia et al. IEEE Solid-State Circuits Magazine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yinqi Tang United States	9	614	195	118	112	71	12	732
Hongyang Jia China	11	668 1.1×	218 1.1×	157 1.3×	99 0.9×	91 1.3×	36	826
Hyunjoon Kim Singapore	15	407 0.7×	221 1.1×	115 1.0×	134 1.2×	90 1.3×	23	595
Sujan K. Gonugondla United States	13	640 1.0×	165 0.8×	140 1.2×	103 0.9×	72 1.0×	25	737
En-Yu Yang United States	8	494 0.8×	151 0.8×	91 0.8×	131 1.2×	58 0.8×	15	620
Dar Sun Taiwan	7	671 1.1×	112 0.6×	191 1.6×	86 0.8×	75 1.1×	8	746
Behnam Khaleghi United States	16	577 0.9×	185 0.9×	218 1.8×	70 0.6×	125 1.8×	51	744
Mahdi Nazm Bojnordi United States	12	364 0.6×	118 0.6×	199 1.7×	85 0.8×	169 2.4×	42	529
Je-Min Hung Taiwan	12	744 1.2×	138 0.7×	123 1.0×	71 0.6×	53 0.7×	15	815
Hossein Valavi United States	7	892 1.5×	216 1.1×	161 1.4×	147 1.3×	75 1.1×	10	992
H. Ekin Sumbul United States	10	346 0.6×	118 0.6×	184 1.6×	88 0.8×	135 1.9×	24	522

Countries citing papers authored by Yinqi Tang

Since Specialization

Citations

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

Fields of papers citing papers by Yinqi Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinqi Tang

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

All Works

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12 of 12 papers shown

Jia, Hongyang, Yinqi Tang, Hossein Valavi, et al.. (2021). 15.1 A Programmable Neural-Network Inference Accelerator Based on Scalable In-Memory Computing. 236–238. 117 indexed citations

Jia, Hongyang, Yinqi Tang, Hossein Valavi, et al.. (2021). Scalable and Programmable Neural Network Inference Accelerator Based on In-Memory Computing. IEEE Journal of Solid-State Circuits. 57(1). 198–211. 61 indexed citations

Lee, Jinseok, Hossein Valavi, Yinqi Tang, & Naveen Verma. (2021). Fully Row/Column-Parallel In-memory Computing SRAM Macro employing Capacitor-based Mixed-signal Computation with 5-b Inputs. 1–2. 58 indexed citations

Tang, Yinqi, Hongyang Jia, & Naveen Verma. (2020). Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming. IEEE Transactions on Circuits and Systems I Regular Papers. 67(5). 1576–1587. 6 indexed citations

Jia, Hongyang, Hossein Valavi, Yinqi Tang, Jintao Zhang, & Naveen Verma. (2020). A Programmable Heterogeneous Microprocessor Based on Bit-Scalable In-Memory Computing. IEEE Journal of Solid-State Circuits. 55(9). 2609–2621. 154 indexed citations

Verma, Naveen, Hongyang Jia, Hossein Valavi, et al.. (2019). In-Memory Computing: Advances and Prospects. IEEE Solid-State Circuits Magazine. 11(3). 43–55. 269 indexed citations breakdown →

Jia, Hongyang, et al.. (2019). A Programmable Embedded Microprocessor for Bit-scalable In-memory Computing. 1–29. 6 indexed citations

Tang, Yinqi, Jintao Zhang, & Naveen Verma. (2018). Scaling Up In-Memory-Computing Classifiers via Boosted Feature Subsets in Banked Architectures. IEEE Transactions on Circuits & Systems II Express Briefs. 66(3). 477–481. 9 indexed citations

Tang, Yinqi & Naveen Verma. (2018). Energy-Efficient Pedestrian Detection System: Exploiting Statistical Error Compensation for Lossy Memory Data Compression. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(7). 1301–1311. 8 indexed citations

10.

Gu, Dawu, et al.. (2013). Efficient, fast and scalable authentication for VANETs. 1768–1773. 13 indexed citations

11.

Tang, Yinqi, et al.. (2012). Phrase Search over Encrypted Data with Symmetric Encryption Scheme. 28 indexed citations

12.

Gu, Dawu, et al.. (2012). Reducing extra storage in searchable symmetric encryption scheme. 3325. 255–262. 3 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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