Ping Chi

2.2k total citations · 2 hit papers
23 papers, 1.6k citations indexed

About

Ping Chi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Ping Chi has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Hardware and Architecture and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ping Chi's work include Parallel Computing and Optimization Techniques (11 papers), Advanced Memory and Neural Computing (11 papers) and Advanced Data Storage Technologies (11 papers). Ping Chi is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Advanced Memory and Neural Computing (11 papers) and Advanced Data Storage Technologies (11 papers). Ping Chi collaborates with scholars based in United States, China and France. Ping Chi's co-authors include Yuan Xie, Jishen Zhao, Shuangchen Li, Yu Wang, Tao Zhang, Cong Xu, Yongpan Liu, Shuangchen Li, Peng Qu and Wenguang Chen and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Journal of Visualized Experiments.

In The Last Decade

Ping Chi

21 papers receiving 1.6k citations

Hit Papers

PRIME 2016 2026 2019 2022 2016 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Chi United States 12 1.3k 366 366 357 293 23 1.6k
Anirban Nag United States 6 1.4k 1.1× 414 1.1× 464 1.3× 261 0.7× 161 0.5× 6 1.7k
Ren-Shuo Liu Taiwan 23 2.0k 1.5× 251 0.7× 392 1.1× 415 1.2× 404 1.4× 73 2.4k
Linghao Song United States 17 1.3k 1.0× 583 1.6× 569 1.6× 327 0.9× 303 1.0× 40 1.7k
Zhezhi He United States 26 1.3k 1.0× 531 1.5× 857 2.3× 302 0.8× 235 0.8× 94 2.1k
Dimin Niu United States 25 1.4k 1.1× 269 0.7× 323 0.9× 809 2.3× 755 2.6× 67 2.0k
Priyanka Raina United States 14 1.3k 1.0× 460 1.3× 401 1.1× 400 1.1× 201 0.7× 64 1.8k
Win-San Khwa Taiwan 27 2.0k 1.5× 242 0.7× 364 1.0× 307 0.9× 162 0.6× 66 2.2k
Swagath Venkataramani United States 25 1.8k 1.4× 590 1.6× 532 1.5× 784 2.2× 299 1.0× 66 2.3k
Yu-Der Chih Taiwan 31 2.2k 1.7× 205 0.6× 304 0.8× 395 1.1× 196 0.7× 80 2.4k
Peng Gu United States 18 891 0.7× 184 0.5× 299 0.8× 323 0.9× 292 1.0× 49 1.2k

Countries citing papers authored by Ping Chi

Since Specialization
Citations

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

Fields of papers citing papers by Ping Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Chi

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

All Works

20 of 20 papers shown
1.
Chi, Ping, Jian Li, Suzanne George, et al.. (2025). The broad-spectrum KIT inhibitor NB003 and activity in advanced gastrointestinal stromal tumors (GIST): Updated results from a phase 1 study (NCT04936178).. Journal of Clinical Oncology. 43(16_suppl). 11517–11517.
3.
Li, Jian, Ping Chi, Yoon‐Koo Kang, et al.. (2024). Phase 1 study of NB003, a broad-spectrum KIT/PDGFRα inhibitor, in patients with advanced gastrointestinal stromal tumors (GIST).. Journal of Clinical Oncology. 42(16_suppl). 11518–11518. 5 indexed citations
4.
Chi, Ping, et al.. (2017). Approximate image storage with multi-level cell STT-MRAM main memory. International Conference on Computer Aided Design. 268–275. 12 indexed citations
5.
Liu, Liu, et al.. (2017). Building energy-efficient multi-level cell STT-RAM caches with data compression. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 751–756. 9 indexed citations
6.
Chi, Ping, et al.. (2017). Approximate image storage with multi-level cell STT-MRAM main memory. 268–275. 14 indexed citations
7.
Ji, Yu, Youhui Zhang, Shuangchen Li, et al.. (2016). NEUTRAMS: neural network transformation and co-design under neuromorphic hardware constraints. International Symposium on Microarchitecture. 1–13. 35 indexed citations
8.
Chi, Ping, et al.. (2016). Architecture design with STT-RAM: Opportunities and challenges. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 109–114. 30 indexed citations
9.
Chi, Ping, Shuangchen Li, Cong Xu, et al.. (2016). PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 27–39. 401 indexed citations breakdown →
10.
Ji, Yu, Youhui Zhang, Shuangchen Li, et al.. (2016). NEUTRAMS: Neural network transformation and co-design under neuromorphic hardware constraints. 1–13. 59 indexed citations
11.
Chi, Ping, Shuangchen Li, Cong Xu, et al.. (2016). PRIME. ACM SIGARCH Computer Architecture News. 44(3). 27–39. 910 indexed citations breakdown →
12.
Zhao, Jishen, Cong Xu, Ping Chi, & Yuan Xie. (2015). Memory and Storage System Design with Nonvolatile Memory Technologies. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8(0). 2–11. 13 indexed citations
13.
Li, Shuangchen, Ping Chi, Jishen Zhao, Kwang‐Ting Cheng, & Yuan Xie. (2015). Leveraging nonvolatility for architecture design with emerging NVM. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–5. 10 indexed citations
14.
Chi, Ping, Wang-Chien Lee, & Yuan Xie. (2015). Adapting <inline-formula> <tex-math notation="LaTeX">$\text{B}^{+}$ </tex-math> </inline-formula>-Tree for Emerging Nonvolatile Memory-Based Main Memory. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 35(9). 1461–1474. 7 indexed citations
15.
Chi, Ping, Cong Xu, Tao Zhang, Xiangyu Dong, & Yuan Xie. (2014). Using multi-level cell STT-RAM for fast and energy-efficient local checkpointing. International Conference on Computer Aided Design. 301–308. 17 indexed citations
16.
Chi, Ping, Wang-Chien Lee, & Yuan Xie. (2014). Making B + -tree efficient in PCM-based main memory. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 69–74. 27 indexed citations
17.
Chi, Ping, Cong Xu, Tao Zhang, Xiangyu Dong, & Yuan Xie. (2014). Using multi-level cell STT-RAM for fast and energy-efficient local checkpointing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 301–308. 16 indexed citations
18.
Chi, Ping, Cong Xu, Xiaochun Zhu, & Yuan Xie. (2014). Building energy-efficient multi-level cell STT-MRAM based cache through dynamic data-resistance encoding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 639–644. 17 indexed citations
19.
Chen, Yu, et al.. (2011). Visualization of the Interstitial Cells of Cajal (ICC) Network in Mice. Journal of Visualized Experiments. 2 indexed citations
20.
Zhang, Shu‐Hua, Weibei Dou, Ping Chi, & Huazhong Yang. (2010). MDCT spectrum separation: Catching the fine spectral structures for stereo coding. 369–372. 4 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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