Adam Li

929 citations
18 papers · 399 · h-index 9

Impact in

Papers in

Adam Li

16 papers receiving 388 citations

Peers

Adam Li
Comparison fields: 5 of 56
  • Cognitive Neuroscience 190
  • Psychiatry and Mental health 73
  • Signal Processing 30
  • Condensed Matter Physics 27
  • Cellular and Molecular Neuroscience 39
Replace M. López with:
M. López Spain
W. Klonowski Poland
Yu. V. Obukhov Russia
Tobias Wagner Germany
Edward F. Kelly United States
А. А. Овчинников Russia
Quentin Barthélemy France
Lijie Guan United States
Kangjoo Lee South Korea
Adam Li relative to M. López Spain M. López's profile →
Citations per field
00.5×
M. López · 1×
Citations per year

Countries citing papers authored by Adam Li

Since Specialization
Citations

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

Fields of papers citing papers by Adam Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Adam Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Adam Li Line = papers co-authored together Adam Li links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202196
2 200159
3 202352
4 202250
5
RTP Payload Format for Generic Forward Error Correction
200734
6 200034
7 201718
8 201716
9 202111
10
An RTP Payload Format for Generic FEC with Uneven Level Protection
20007
11 20256
12 20196
13 20204
14 20162
15 20172
16 20231
17
An RTP Payload Format for EVRC Speech
20011
18 20230

About Adam Li

Adam Li is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering, having authored 18 papers that have together received 399 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Epilepsy research and treatment (5 papers), Functional Brain Connectivity Studies (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (2 papers), Anomaly Detection Techniques and Applications (2 papers), Distributed and Parallel Computing Systems (2 papers) and Semiconductor Quantum Structures and Devices (2 papers). The work is most often cited by research in Cognitive Neuroscience (190 citations), Psychiatry and Mental health (73 citations), Signal Processing (30 citations), Condensed Matter Physics (27 citations) and Cellular and Molecular Neuroscience (39 citations). Adam Li has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include M. G. Lagally, Sridevi V. Sarma, Feng Liu, Sara K. Inati, Kareem A. Zaghloul, Richard Höchenberger, Juan Bulacio, Jorge González-Martínez, Kristin M. Gunnarsdottir and Jennifer L. Hopp. Their work appears in journals such as Physical Review Letters, Nature Neuroscience, Brain, Frontiers in Neurology and Annals of Neurology.

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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