Concepedia

Depression Detection

Depression Detection is a terrain analysis method that identifies local minima in digital elevation models where surrounding cells drain into a common point, distinguishing itself by targeting spurious or hydrologically significant depressions for correction or interpretation in elevation data quality control and terrain derivative computation.

490

Publications

28.2K

Citations

1.8K

Authors

725

Institutions

Publications per year

2017–2026

390

Variants

Sink Detection

Parents

Publications

490

Depression detection from social network data using machine learning techniques

Md. Rafiqul Islam, Muhammad Ashad Kabir, Ashir Ahmed et al. · Health Information Science and Systems · 2018 · 463 citations

, , +16

Detection of Depression-Related Posts in Reddit Social Media Forum

Michael M. Tadesse, Hongfei Lin, Bo Xu et al. · IEEE Access · 2019 · 462 citations · Full text

, , +16

Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution

Guangyao Shen, Jia Jia, Liqiang Nie et al. · 2017 · 371 citations · Full text

, , +14

Prevalence of depression and depression recognition in nursing homes

Jeanne A. Teresi, Robert C. Abrams, Douglas Holmes et al. · Social Psychiatry and Psychiatric Epidemiology · 2001 · 337 citations

, , +14

Feature-level fusion approaches based on multimodal EEG data for depression recognition

Hanshu Cai, Zhidiao Qu, Zhe Li et al. · Information Fusion · 2020 · 334 citations

, , +16

1–5 of 490

Authors

1.8K

  1. BH
    Bin Hu

    Lanzhou University, China

    39 publications · 2.6K citations

    27

    h-index

  2. XH
    Xiping Hu

    Lanzhou University, China

    11 publications · 709 citations

    11

    h-index

  3. JS
    Jian Shen

    Lanzhou University, China

    9 publications · 654 citations

    9

    h-index

  4. ZL
    Zhenyu Liu

    Lanzhou University, China

    9 publications · 367 citations

    9

    h-index

  5. XL
    Xiaowei Li

    Lanzhou University, China

    7 publications · 382 citations

    7

    h-index

1–5 of 1.8K

Institutions

725

  1. Lanzhou University

    Lanzhou, China

    30 h-index

    212 publications

    14.9K citations

  2. Beijing Institute of Technology

    Beijing, China

    17 h-index

    45 publications

    2.4K citations

  3. Chinese Academy of Sciences

    Beijing, China

    16 h-index

    24 publications

    2.7K citations

  4. Shanghai Institutes for Biological Sciences

    Shanghai, China

    11 h-index

    11 publications

    1K citations

  5. UNSW Sydney

    Sydney, Australia

    10 h-index

    18 publications

    1.6K citations

  6. Capital Medical University

    Beijing, China

    9 h-index

    13 publications

    1.5K citations

  7. Deakin University

    Burwood, Australia

    9 h-index

    20 publications

    1.5K citations

  8. Center for Excellence in Brain Science and Intelligence Technology

    Shanghai, China

    9 h-index

    9 publications

    902 citations

1–8 of 725

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 15 publications · 1.7K citations

    15

    h-index

  2. 10

    h-index

  3. arXiv (Cornell University)

    Repository · 11 publications · 202 citations

    10

    h-index

  4. IEEE Access

    12 publications · 919 citations

    10

    h-index

  5. 9

    h-index

1–5