Tiejun J. Xia

3.1k total citations
89 papers, 2.1k citations indexed

About

Tiejun J. Xia is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Tiejun J. Xia has authored 89 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Electrical and Electronic Engineering, 16 papers in Atomic and Molecular Physics, and Optics and 7 papers in Computer Networks and Communications. Recurrent topics in Tiejun J. Xia's work include Optical Network Technologies (65 papers), Advanced Photonic Communication Systems (49 papers) and Advanced Optical Network Technologies (42 papers). Tiejun J. Xia is often cited by papers focused on Optical Network Technologies (65 papers), Advanced Photonic Communication Systems (49 papers) and Advanced Optical Network Technologies (42 papers). Tiejun J. Xia collaborates with scholars based in United States, Japan and Canada. Tiejun J. Xia's co-authors include S. Gringeri, Glenn A. Wellbrock, B. Basch, Vishnu Shukla, Roman Egorov, Nabil Bitar, David J. Hagan, Eric W. Van Stryland, Ming-Fang Huang and Yoshiaki Aono and has published in prestigious journals such as Journal of Applied Physics, Journal of Hydrology and Optics Letters.

In The Last Decade

Tiejun J. Xia

83 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiejun J. Xia United States 24 1.6k 324 250 230 113 89 2.1k
Johannes Fischer Germany 25 2.4k 1.4× 392 1.2× 161 0.6× 165 0.7× 112 1.0× 199 2.8k
Nicholas Bowring United Kingdom 16 326 0.2× 193 0.6× 44 0.2× 147 0.6× 65 0.6× 82 734
Valentin I. Vlad Romania 14 261 0.2× 506 1.6× 40 0.2× 108 0.5× 112 1.0× 83 835
Alan R. Mickelson United States 21 1.3k 0.8× 887 2.7× 66 0.3× 218 0.9× 95 0.8× 131 1.8k
Mitchell L. R. Walker United States 24 1.7k 1.0× 256 0.8× 97 0.4× 77 0.3× 234 2.1× 136 2.0k
M. N. Petrovich United Kingdom 29 3.1k 1.9× 1.3k 4.1× 45 0.2× 178 0.8× 51 0.5× 177 3.3k
Jing Li China 27 2.3k 1.4× 1.1k 3.5× 40 0.2× 283 1.2× 68 0.6× 269 2.7k
Lifa Hu China 18 435 0.3× 675 2.1× 17 0.1× 492 2.1× 87 0.8× 137 1.2k
Xu Huang China 23 1.3k 0.8× 713 2.2× 172 0.7× 1.0k 4.4× 35 0.3× 138 2.0k
Atsushi Kanno Japan 28 3.3k 2.0× 926 2.9× 73 0.3× 142 0.6× 39 0.3× 445 3.5k

Countries citing papers authored by Tiejun J. Xia

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun J. Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiejun J. Xia. 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 Tiejun J. Xia. The network helps show where Tiejun J. Xia may publish in the future.

Co-authorship network of co-authors of Tiejun J. Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun J. Xia. A scholar is included among the top collaborators of Tiejun J. Xia 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 Tiejun J. Xia. Tiejun J. Xia 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.
Xia, Tiejun J., et al.. (2025). Risk quantification of saltwater intrusion in Modaomen Estuary of the Pearl river Delta, South China. Journal of Hydrology. 661. 133755–133755.
2.
Reimer, Michael E., Christine Tremblay, Daniel L. Peterson, et al.. (2016). Polarization Activity Monitoring of an Aerial Fiber Link in a Live Network. Optical Fiber Communication Conference. Tu3G.3–Tu3G.3. 9 indexed citations
3.
Burtsev, Sergey, et al.. (2014). 150 × 120 Gb/s Field Trial over 1,504 km using All-Distributed Raman Amplification. Optical Fiber Communication Conference. Tu2B.2–Tu2B.2. 10 indexed citations
4.
Huang, Ming-Fang, Akihiro Tanaka, Ezra Ip, et al.. (2013). Terabit/s Nyquist Superchannels in High Capacity Fiber Field Trials Using DP-16QAM and DP-8QAM Modulation Formats. Journal of Lightwave Technology. 32(4). 776–782. 48 indexed citations
5.
Gringeri, S., et al.. (2012). Technical considerations for supporting data rates beyond 100 Gb/s. IEEE Communications Magazine. 50(2). s21–s30. 64 indexed citations
6.
Xia, Tiejun J., Glenn A. Wellbrock, Yue-Kai Huang, et al.. (2012). 21.7 Tb/s Field Trial with 22 DP-8QAM/QPSK Optical Superchannels Over 1,503-km of Installed SSMF. PDP5D.6–PDP5D.6. 5 indexed citations
7.
Xia, Tiejun J., et al.. (2012). Field Trial of a Novel Non-Intrusive Method for In-Service PMD Measurements in Fiber-Optic Networks. NTu2E.5–NTu2E.5. 2 indexed citations
8.
Xia, Tiejun J. & Glenn A. Wellbrock. (2012). 1T channel transmission field experiments and next generation DWDM network design. 28–29. 1 indexed citations
9.
Xia, Tiejun J., Glenn A. Wellbrock, Yue-Kai Huang, et al.. (2012). 21.7 Tb/s Field Trial with 22 DP-8QAM/QPSK Optical Superchannels Over 1,503-km of Installed SSMF. Optical Fiber Communication Conference. PDP5D.6–PDP5D.6. 4 indexed citations
10.
Ji, Philip N., Ting Wang, Dayou Qian, et al.. (2012). Demonstration of High-Speed MIMO OFDM Flexible Bandwidth Data Center Network. Th.2.B.1–Th.2.B.1. 5 indexed citations
11.
Ip, Ezra, E. Granados, Akihiro Tanaka, et al.. (2012). 16.2-Tb/s field trial over 2,531-km of installed SSMF with DP-QPSK optical superchannels. 33–34. 3 indexed citations
12.
Yao, X. Steve, Xiaojun Chen, Tiejun J. Xia, et al.. (2010). In-service light path PMD (polarization mode dispersion) monitoring by PMD compensation. Optics Express. 18(26). 27306–27306. 1 indexed citations
13.
Xia, Tiejun J.. (2009). 100G – Key Technology for Next Generation Transport Networks. Asia Communications and Photonics Conference and Exhibition. ThU2–ThU2. 1 indexed citations
14.
15.
Cheng, Chi‐Hao, et al.. (2002). Spectral Slicer without Cascaded Dispersion Penalty. European Conference on Optical Communication. 1. 1–2. 1 indexed citations
16.
Ahn, Kwangsu, J.W. Lou, Y. Liang, et al.. (1999). System performance measurements for an all-optical header processor using 100-Gb/s packets. IEEE Photonics Technology Letters. 11(1). 140–142. 7 indexed citations
17.
Lou, J.W., et al.. (1998). Path average measurements of optical fiber nonlinearity using solitons. Journal of Lightwave Technology. 16(12). 2328–2335. 5 indexed citations
18.
Xia, Tiejun J., Y. Liang, J.W. Lou, et al.. (1998). All-optical packet-drop demonstration using 100-Gb/s words by integrating fiber-based components. IEEE Photonics Technology Letters. 10(1). 153–155. 49 indexed citations
19.
Xia, Tiejun J.. (1994). Modeling and experimental studies of nonlinear optical self-action. Journal of International Crisis and Risk Communication Research. 3 indexed citations
20.
Hagan, David J., Tiejun J. Xia, A. A. Said, T. H. Wei, & Eric W. Van Stryland. (1993). HIGH DYNAMIC RANGE PASSIVE OPTICAL LIMITERS. Journal of Nonlinear Optical Physics & Materials. 2(4). 483–501. 46 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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