Anxiao Jiang

2.1k total citations
93 papers, 1.4k citations indexed

About

Anxiao Jiang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Anxiao Jiang has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Networks and Communications, 35 papers in Artificial Intelligence and 35 papers in Computational Theory and Mathematics. Recurrent topics in Anxiao Jiang's work include Advanced Data Storage Technologies (46 papers), Cellular Automata and Applications (31 papers) and Error Correcting Code Techniques (23 papers). Anxiao Jiang is often cited by papers focused on Advanced Data Storage Technologies (46 papers), Cellular Automata and Applications (31 papers) and Error Correcting Code Techniques (23 papers). Anxiao Jiang collaborates with scholars based in United States, Israel and United Kingdom. Anxiao Jiang's co-authors include Jehoshua Bruck, Jie Gao, Moshe Schwartz, Vasken Bohossian, Hongchao Zhou, Michael Langberg, Jie Gao, Erich F. Haratsch, Hao Li and Paul H. Siegel and has published in prestigious journals such as IEEE Transactions on Information Theory, mBio and Wireless Networks.

In The Last Decade

Anxiao Jiang

90 papers receiving 1.3k citations

Peers

Anxiao Jiang
Feng Bao Singapore
Alex Reznik United States
Dov Harel United States
Ashutosh Rege United States
Anxiao Jiang
Citations per year, relative to Anxiao Jiang Anxiao Jiang (= 1×) peers Fang‐Wei Fu

Countries citing papers authored by Anxiao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Anxiao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anxiao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Anxiao Jiang. A scholar is included among the top collaborators of Anxiao Jiang 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 Anxiao Jiang. Anxiao Jiang 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.
Jiang, Anxiao, et al.. (2025). Symbolic Modeling for financial asset pricing. 11. 100150–100150. 1 indexed citations
2.
Jiang, Anxiao. (2024). Analog Error-Correcting Codes: Designs and Analysis. IEEE Transactions on Information Theory. 70(11). 7740–7756. 1 indexed citations
3.
Yu, Xiao‐Jing & Anxiao Jiang. (2021). Expanding, Retrieving and Infilling: Diversifying Cross-Domain Question Generation with Flexible Templates. 3202–3212. 7 indexed citations
4.
Yu, Xiao‐Jing, Tianlong Chen, Huiyu Li, et al.. (2020). Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing. Language Resources and Evaluation. 5829–5837. 3 indexed citations
5.
Raviv, Netanel, et al.. (2020). CodNN – Robust Neural Networks From Coded Classification. 2688–2693. 5 indexed citations
6.
Siegel, Paul H., et al.. (2020). Functional Error Correction for Reliable Neural Networks. 2694–2699. 8 indexed citations
7.
Jiang, Anxiao, et al.. (2017). Correcting errors by natural redundancy. 1–8. 1 indexed citations
8.
Li, Yue, Anxiao Jiang, & Jehoshua Bruck. (2014). Error correction and partial information rewriting for flash memories. 2087–2091. 4 indexed citations
9.
Jiang, Anxiao, et al.. (2013). Joint rewriting and error correction in write-once memories. 37. 1067–1071. 19 indexed citations
10.
Jiang, Anxiao, et al.. (2013). Error correcting code for flash memories. 37. 1–4.
11.
Qin, Minghai, Anxiao Jiang, & Paul H. Siegel. (2013). Parallel programming of rank modulation. 6. 719–723. 6 indexed citations
12.
Jiang, Anxiao, et al.. (2011). Nonuniform codes for correcting asymmetric errors. 1046–1050. 4 indexed citations
13.
Salajegheh, Mastooreh, et al.. (2011). Exploiting half-wits: smarter storage for low-power devices. File and Storage Technologies. 4–4. 19 indexed citations
14.
Jiang, Anxiao, et al.. (2011). Compressed encoding for rank modulation. CaltechAUTHORS (California Institute of Technology). 884–888. 13 indexed citations
15.
Zhou, Hongchao, Anxiao Jiang, & Jehoshua Bruck. (2011). Error-correcting schemes with dynamic thresholds in nonvolatile memories. 2143–2147. 39 indexed citations
16.
Jiang, Anxiao, Michael Langberg, Moshe Schwartz, & Jehoshua Bruck. (2010). Trajectory Codes for Flash Memory. CaltechAUTHORS (California Institute of Technology). 9 indexed citations
17.
Jiang, Anxiao & Jehoshua Bruck. (2008). Joint coding for flash memory storage. 1741–1745. 47 indexed citations
18.
Li, Huan, et al.. (2007). Face Tracing Based Geographic Routing in Nonplanar Wireless Networks. 2243–2251. 12 indexed citations
19.
Bruck, Jehoshua, Jie Gao, & Anxiao Jiang. (2006). MAP: Medial axis based geometric routing in sensor networks. Wireless Networks. 13(6). 835–853. 76 indexed citations
20.
Bruck, Jehoshua, Jie Gao, & Anxiao Jiang. (2005). MAP. 88–102. 60 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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