What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Neuroscience
- Surgery
Edward F. Chang focuses on Neuroscience, Surgery, Epilepsy, Auditory cortex and Glioma.
Edward F. Chang undertakes interdisciplinary study in the fields of Neuroscience and Microglia through his research.
Edward F. Chang studies Retrospective cohort study, a branch of Surgery.
His studies in Epilepsy integrate themes in fields like Young adult and Pediatrics.
His Auditory cortex study incorporates themes from Neural Inhibition, Sensory system, Period and Neurocomputational speech processing.
His Speech perception research includes themes of Acoustics and Speech recognition.
His most cited work include:
- Purification and Characterization of Progenitor and Mature Human Astrocytes Reveals Transcriptional and Functional Differences with Mouse. (902 citations)
- Role of Extent of Resection in the Long-Term Outcome of Low-Grade Hemispheric Gliomas (888 citations)
- New tools for studying microglia in the mouse and human CNS. (784 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Neuroscience, Epilepsy, Surgery, Speech recognition and Epilepsy surgery.
Cortex, Sensory system, Human brain, Stimulation and Brain mapping are among the areas of Neuroscience where Edward F. Chang concentrates his study.
His work in Epilepsy addresses subjects such as Anesthesia, which are connected to disciplines such as Vagus nerve stimulation.
His study brings together the fields of Magnetic resonance imaging and Surgery.
His Speech recognition study combines topics in areas such as Superior temporal gyrus, Auditory cortex, Decoding methods and Speech perception, Neurocomputational speech processing.
Epilepsy surgery is a subfield of Electroencephalography that Edward F. Chang tackles.
He most often published in these fields:
- Neuroscience (21.17%)
- Epilepsy (20.66%)
- Surgery (19.13%)
What were the highlights of his more recent work (between 2019-2021)?
- Neuroscience (21.17%)
- Epilepsy (20.66%)
- Speech recognition (15.82%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Neuroscience, Epilepsy, Speech recognition, Depression and Retrospective cohort study.
Neuroscience connects with themes related to Reading in his study.
His Epilepsy research is multidisciplinary, incorporating elements of Pediatrics, Responsive neurostimulation and Responsive neurostimulation device.
His Speech recognition research includes elements of Auditory cortex, Decoding methods, Brain–computer interface, Transfer of learning and Machine translation.
His research in Auditory cortex intersects with topics in Absolute pitch, Speech perception and Neural coding.
His Retrospective cohort study study also includes
- Prospective cohort study which is related to area like Historical Cohort, Postoperative outcome, Systematic review and Meta-analysis,
- Cohort which intersects with area such as Surgery, Trigeminal nerve and Proportional hazards model.
Between 2019 and 2021, his most popular works were:
- Association of Maximal Extent of Resection of Contrast-Enhanced and Non-Contrast-Enhanced Tumor With Survival Within Molecular Subgroups of Patients With Newly Diagnosed Glioblastoma. (58 citations)
- Machine translation of cortical activity to text with an encoder–decoder framework (41 citations)
- Responsive neurostimulation for regional neocortical epilepsy. (14 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Neuroscience
- Surgery
His primary areas of investigation include Epilepsy, Responsive neurostimulation device, Retrospective cohort study, Neuroscience and Interquartile range.
He has included themes like Neurology and Pediatrics in his Epilepsy study.
His biological study spans a wide range of topics, including Prospective cohort study, Cohort and Initial treatment.
The study of Neuroscience is intertwined with the study of Context in a number of ways.
His Electrocorticography study combines topics from a wide range of disciplines, such as Speech recognition and Brain–computer interface.
His Preoperative care study introduces a deeper knowledge of Surgery.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
