Te Sun Han

6.8k total citations · 2 hit papers
72 papers, 4.1k citations indexed

About

Te Sun Han is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Te Sun Han has authored 72 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 27 papers in Artificial Intelligence and 23 papers in Molecular Biology. Recurrent topics in Te Sun Han's work include Wireless Communication Security Techniques (47 papers), DNA and Biological Computing (16 papers) and Algorithms and Data Compression (15 papers). Te Sun Han is often cited by papers focused on Wireless Communication Security Techniques (47 papers), DNA and Biological Computing (16 papers) and Algorithms and Data Compression (15 papers). Te Sun Han collaborates with scholars based in Japan, United States and Germany. Te Sun Han's co-authors include K. Kobayashi, Sergio Verdú, Шун-ичи Амари, Kentaro Kobayashi, Rudolf Ahlswede, Masahide Sasaki, Max H. M. Costa, Hiroyuki Endo, Yasutada Oohama and Osamu Uchida and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Information Forensics and Security and IEEE Journal of Selected Topics in Quantum Electronics.

In The Last Decade

Te Sun Han

68 papers receiving 3.9k citations

Hit Papers

align trajectories

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.

A new achievable rate region for the interference channel

1981 1.0k citations Te Sun Han et al. IEEE Transactions on Information Theory profile →
A general formula for channel capacity

1994 473 citations Sergio Verdú, Te Sun Han IEEE Transactions on Information Theory profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Te Sun Han Japan	28	3.1k	2.2k	1.1k	746	671	72	4.1k
Thomas Berger United States	34	2.4k 0.8×	2.1k 0.9×	1.0k 1.0×	515 0.7×	497 0.7×	167	4.8k
János Körner Italy	24	4.7k 1.5×	3.3k 1.5×	1.8k 1.7×	1.4k 1.9×	954 1.4×	67	6.3k
Neri Merhav Israel	36	2.0k 0.6×	1.8k 0.8×	2.2k 2.1×	833 1.1×	692 1.0×	285	5.2k
Yury Polyanskiy United States	26	4.4k 1.4×	3.1k 1.4×	724 0.7×	440 0.6×	402 0.6×	125	5.5k
Amos Lapidoth Switzerland	31	3.7k 1.2×	2.5k 1.1×	474 0.5×	384 0.5×	304 0.5×	158	4.3k
Ram Zamir Israel	31	3.1k 1.0×	2.7k 1.3×	761 0.7×	473 0.6×	395 0.6×	130	4.3k
Robert J. McEliece United States	35	3.8k 1.2×	3.6k 1.6×	4.3k 4.1×	1.1k 1.5×	449 0.7×	169	7.1k
Holger Boche Germany	41	6.7k 2.2×	5.2k 2.4×	911 0.9×	642 0.9×	241 0.4×	739	8.7k
Erdal Arıkan Türkiye	19	3.5k 1.1×	3.9k 1.8×	1.5k 1.5×	382 0.5×	1.3k 2.0×	63	4.7k
Rudolf Ahlswede Germany	32	7.3k 2.4×	7.5k 3.4×	1.9k 1.8×	1.6k 2.2×	954 1.4×	224	10.9k

Countries citing papers authored by Te Sun Han

Since Specialization

Citations

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

Fields of papers citing papers by Te Sun Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te Sun Han. 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 Te Sun Han. The network helps show where Te Sun Han may publish in the future.

Co-authorship network of co-authors of Te Sun Han

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

20 of 20 papers shown

1.

Yagi, Hideki & Te Sun Han. (2023). Variable-Length Resolvability for General Sources and Channels. Entropy. 25(10). 1466–1466. 2 indexed citations

2.

Han, Te Sun & Masahide Sasaki. (2021). Wiretap Channels With Causal and Non-Causal State Information: Revisited. IEEE Transactions on Information Theory. 67(9). 6122–6139. 4 indexed citations

3.

Han, Te Sun, et al.. (2018). First- and Second-Order Hypothesis Testing for Mixed Memoryless Sources. Entropy. 20(3). 174–174. 1 indexed citations

4.

Yagi, Hideki & Te Sun Han. (2018). Variable-Length Resolvability for Mixed Sources and its Application to Variable-Length Source Coding. 2391–2395. 4 indexed citations

5.

Han, Te Sun, Hiroyuki Endo, & Masahide Sasaki. (2014). Reliability and Secrecy Functions of the Wiretap Channel Under Cost Constraint. IEEE Transactions on Information Theory. 60(11). 6819–6843. 37 indexed citations

6.

Han, Te Sun, et al.. (2013). Second-order Slepian-Wolf coding theorems for non-mixed and mixed sources. 55. 1974–1978. 6 indexed citations

7.

Han, Te Sun, et al.. (2007). Mathematics of Information and Coding. Translations of mathematical monographs. 29 indexed citations

8.

Han, Te Sun, et al.. (2005). Approximation Theory of Output Statistics. 153–153. 1 indexed citations

9.

Han, Te Sun, et al.. (2002). Error bound of hypothesis testing with data compression. 114–114. 36 indexed citations

10.

Burnashev, M. V., et al.. (2001). О некоторых задачах оценивания с информационными ограничениями. Теория вероятностей и ее применения. 46(2). 233–246. 1 indexed citations

11.

Han, Te Sun. (2000). Hypothesis testing with the general source. IEEE Transactions on Information Theory. 46(7). 2415–2427. 20 indexed citations

12.

Han, Te Sun. (2000). Theorems on the variable-length intrinsic randomness. IEEE Transactions on Information Theory. 46(6). 2108–2116. 6 indexed citations

13.

Kato, Akiko, Te Sun Han, & Hiroshi Nagaoka. (1996). Huffman coding with an infinite alphabet. IEEE Transactions on Information Theory. 42(3). 977–984. 17 indexed citations

14.

Kanaya, F. & Te Sun Han. (1995). The asymptotics of posterior entropy and error probability for Bayesian estimation. IEEE Transactions on Information Theory. 41(6). 1988–1992. 17 indexed citations

15.

Han, Te Sun & Шун-ичи Амари. (1995). Parameter estimation with multiterminal data compression. IEEE Transactions on Information Theory. 41(6). 1802–1833. 25 indexed citations

16.

Han, Te Sun & Sergio Verdú. (1994). Generalizing the Fano inequality. IEEE Transactions on Information Theory. 40(4). 1247–1251. 62 indexed citations

17.

Oohama, Yasutada & Te Sun Han. (1994). Universal coding for the Slepian-Wolf data compression system and the strong converse theorem. IEEE Transactions on Information Theory. 40(6). 1908–1919. 49 indexed citations

18.

Ahlswede, Rudolf & Te Sun Han. (1983). On source coding with side information via a multiple-access channel and related problems in multi-user information theory. IEEE Transactions on Information Theory. 29(3). 396–412. 93 indexed citations

19.

Han, Te Sun. (1979). The capacity region of general multiple-access channel with certain correlated sources. Information and Control. 40(1). 37–60. 67 indexed citations

20.

Han, Te Sun. (1978). Nonnegative entropy measures of multivariate symmetric correlations. Information and Control. 36(2). 133–156. 131 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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