Chungnam National University researcher in MIMO, over-the-air federated learning, and ML-assisted channel coding
2
papers here
1
reviewed by Evolve
2
first-author
0
corresponding
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works · OpenAlex
8
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-17) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
The output axis cannot be scored yet: per-work venue, type, and full publication-volume records needed for this measure are not available in the current snapshot, beyond an h-index of 8 and i10-index of 7.
Impact—
Impact data is insufficient to score this axis: citation counts, citing works, and per-paper influence records are missing, so citation-based impact cannot be assessed beyond the reported h-index of 8.
Focus100/100
Focus scores 100/100: the topic profile is dominated by wireless work — Advanced MIMO Systems Optimization and Advanced Wireless Network Optimization (17 works each), plus Wireless Communication Networks Research (9) — with smaller secondary strands in Adversarial Robustness in Machine Learning (6) and Privacy-Preserving Technologies in Data (5). The two 2026 catalog papers extend this line into communication-efficient machine learning and channel coding.
Collaboration39/100
Collaboration scores 39/100: the recent 3-year window shows 18 works but only 6 distinct coauthors, indicating a small, stable team rather than a broad network. Recurring partners include Hyeonsu Lyu, Hyun Jong Yang, Hongjae Nam, Vishrant Tripathi, and David J. Love; both catalog papers are first-authored without a corresponding role.
Activity86/100
Activity scores 86/100: output is current and rising, with 18 works in the recent 3-year window, while the indexed annual series peaks at 10 works in 2024 and shows 6 already in 2026, against earlier counts of 1 in 2015, 2 in 2016, 2 in 2018, 5 in 2019, 6 in 2020, 1 in 2021, 3 in 2022, 4 in 2023, and 2 in 2025.
Reproducibility55/100
Reproducibility scores 55/100, computed from one reviewed paper (reproMean 55, reproReadiness medium). Evolve's verdict on AirGC-CD credits exact unbiasedness at O(d log d) but flags AWGN-only evaluation without error bars; MaskCode's ultra-low BLERs likewise lack statistical support, and both catalog papers carry medium readiness.
Research summary
Jonggyu Jang (Chungnam National University, South Korea; ORCID 0000-0001-9651-2227) is a wireless communications researcher whose work spans MIMO and wireless network optimization, over-the-air computation for federated learning, and machine-learning-assisted channel coding. This profile is name-resolved from public OpenAlex bibliographic data. The indexed record shows an h-index of 8 and an i10-index of 7, with an annual output series running from 2015 to 2026 and peaking at 10 works in 2024; 18 works fall within the recent 3-year window. Topic modeling concentrates heavily on Advanced MIMO Systems Optimization and Advanced Wireless Network Optimization (17 works each) and Wireless Communication Networks Research (9), with smaller strands in Adversarial Robustness in Machine Learning (6) and Privacy-Preserving Technologies in Data (5). Two first-author 2026 arXiv preprints are in the Evolve catalog. AirGC-CD proposes Gaussian-circulant precoding that makes clipped over-the-air federated learning exactly unbiased at O(d log d) complexity; Evolve judges the theory sound but notes AWGN-only evaluation without error bars. MaskCode injects linear block-code structure (soft syndrome, Tanner mask) into transformer-based feedback coding for gains up to 1.5 dB, though its ultra-low BLERs lack statistical support. Collaboration remains compact — 6 distinct coauthors over the last three years — centering on Hyeonsu Lyu, Hyun Jong Yang, Hongjae Nam, Vishrant Tripathi, and David J. Love.
Collaboration pattern
Jang's collaboration pattern is compact and stable: 18 works over the recent 3-year window with only 6 distinct coauthors. Recurring partners are Hyeonsu Lyu, Hyun Jong Yang (listed twice in the co-author records), Hongjae Nam, Vishrant Tripathi, and David J. Love. Both reviewed 2026 papers are first-authored without a corresponding role, consistent with a lead-contributor position within a persistent wireless-systems team.
Research keywords
Highlights
AirGC-CD: exactly debiasable PAPR reduction for over-the-air federated learning
MaskCode: mask transformer brings linear block-code structure to feedback coding
Timeline
- 2015Earliest work in the indexed OpenAlex annual series appears (1 work).
- 2019Output rises to 5 indexed works, opening a multi-year stretch of steady activity.
- 20206 indexed works, continuing the 2019-2020 growth phase.
- 2024Peak of the indexed annual series: 10 works.
- 2026Two first-author arXiv preprints — AirGC-CD and MaskCode — enter the Evolve catalog; 6 works are already indexed this year.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Bibliometric figures are computed from OpenAlex records only; citation-level data needed to score the output and impact dimensions is not yet available.
- Only two papers — both 2026 arXiv preprints — have been reviewed by Evolve, so the reproducibility score rests on a single reviewed paper.
- The counts-by-year series has no 2017 entry and 2026 covers only part of the year, so annual comparisons are incomplete.
- Identity is name-resolved from public OpenAlex bibliographic data linked to ORCID 0000-0001-9651-2227; biography beyond the indexed record is not covered.