← This week2026.09.21 ~ 2026.09.27
SettingChina · Qidian

modern city

40.0%
+30.0%p

Share over 12 weeks

6/299/21
View weekly figures
WeekShareTitles
6/2920.0%2/10 titles
7/610.0%1/10 titles
7/2010.0%1/10 titles
7/2711.1%1/9 titles
8/1010.0%1/10 titles
8/1720.0%2/10 titles
8/2410.0%1/10 titles
8/3111.1%1/9 titles
9/720.0%2/10 titles
9/1410.0%1/10 titles
9/2140.0%4/10 titles

Evidence

  • modern city appears in 4 of the 10 titles (40.0%) on the China chart.
  • Against the last observed week (9/14) at 10.0%, that is +30.0%p — from 1 to 4 titles, up 3.
  • Observed in 11 of the last 11 weeks.

WriterMate's reading

3 titles were added in a single week. This may simply reflect new entries near the top of the chart, so check whether it holds next week. 75.0% of the titles carrying modern city also carry superpower world. It is more accurate to read this as the "modern city + superpower world" combination moving, rather than the setting on its own. Next most common: city(75.0%), horror(50.0%).

Appears alongside

Ranked titles behind this 4titles

Story pattern read from the synopses

4titles

This week's 'Modern City' setting works in China share a narrative structure where supernatural beings or individuals with special abilities appear in a modern urban backdrop. 'Corpse Retriever' and 'Urgent Edict' are ghost stories and horror tales where ghosts or supernatural phenomena manifest in reality and cause incidents. 'Do Not Descend During the College Entrance Exam' deals with events tha

What changed from last week — Last week, only one work, 'Corpse Retriever,' appeared as a supernatural story set in a modern city. This week, the number has increased to four. Notably, this week includes multiple works that, while set in a modern city, combine various genre elements such as regression, supernatural abilities, and yokai.

This trope in other markets

  • North America 15.0%

Original source: Qidian 월표(月票) 순위 · Royal Road Active Popular

Rankings and title information come from each platform's public charts. Shares, changes, streak lengths and cross-market comparisons are calculated by WriterMate from stored snapshots, and every interpretation is derived from those figures alone. See how we calculate this