In the Heat of the Sun
1994 · 141 min · Director: Wen Jiang, Jiang Wen
Show plot summary (may contain spoilers)
MA Xiaojun, a teenager boy, enjoying 100% freedom, grew up brutally in Beijing in the special days of cultural revolution. With nothing to do in schools, he began to sneak into strangers' homes using a self-made key. One day, he opened a door, entering the house of MI Lan. Without any notice, Mi came back home early, making MA nowhere to hide but under the bed. He saw the well-shaped young girl changing and naturally, as a teenager boy, he fell into the puppy love. Without any agenda or expectation, he tried to court the girl... Time passed away, young boys and girls changed. When looking back at the days of puberty, it seems the Sun shined strongly everyday. And the heat of the sun, though far fading, can still be felt in the memories of the people of that generation. Long story short, it is a Chinese version of the sorrows of younger Werther.
Emotional fingerprint
In the Heat of the Sun (1994) — Movie. Top emotional signals: Nostalgia 30%, Love 25%, Melancholy 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Nostalgia30%
- Love25%
- Melancholy20%
- Empathy15%
- Sadness10%
AI estimate · no viewer votes yet
How we measure
AI estimate
Share of emotional signal, not the percentage of people or a probability of enjoyment.
Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.
Why it feels this way
The strongest emotional signals are Nostalgia, Love, Melancholy. Genres: Drama, Romance. AI estimate.
Is it worth watching?
Consider this title if you are looking for Nostalgia, Love and Melancholy. Its IMDb rating of 8.0/10 suggests a strong audience reception. For these leading emotions, its Feel Score is 73/100.
How did it make you feel?
Votes are saved to the fingerprint once you’re signed in.
Pick up to three · 0/3
Emotional journey
- Nostalgia
- Sadness
- Tension
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Nostalgia
Dominant emotion: Humor
Dominant emotion: Love
Dominant emotion: Tension
Dominant emotion: Sadness
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Nostalgia | Sadness | Tension |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 4′ | Nostalgia | 57 % | 55 % | 18 % | 12 % |
| 7.5 % | ≈ 11′ | Humor | 53 % | 40 % | 9 % | 19 % |
| 12.5 % | ≈ 18′ | Humor | 49 % | 25 % | 4 % | 30 % |
| 17.5 % | ≈ 25′ | Humor | 46 % | 20 % | 10 % | 31 % |
| 22.5 % | ≈ 32′ | Love | 50 % | 19 % | 16 % | 35 % |
| 27.5 % | ≈ 39′ | Tension | 56 % | 14 % | 16 % | 49 % |
| 32.5 % | ≈ 46′ | Tension | 56 % | 11 % | 16 % | 54 % |
| 37.5 % | ≈ 53′ | Tension | 56 % | 14 % | 18 % | 51 % |
| 42.5 % | ≈ 60′ | Love | 56 % | 19 % | 16 % | 39 % |
| 47.5 % | ≈ 67′ | Love | 53 % | 26 % | 13 % | 23 % |
| 52.5 % | ≈ 74′ | Humor | 50 % | 26 % | 9 % | 28 % |
| 57.5 % | ≈ 81′ | Tension | 50 % | 21 % | 9 % | 38 % |
| 62.5 % | ≈ 88′ | Humor | 53 % | 31 % | 20 % | 28 % |
| 67.5 % | ≈ 95′ | Nostalgia | 56 % | 40 % | 36 % | 23 % |
| 72.5 % | ≈ 102′ | Sadness | 57 % | 27 % | 40 % | 39 % |
| 77.5 % | ≈ 109′ | Tension | 63 % | 24 % | 40 % | 55 % |
| 82.5 % | ≈ 116′ | Tension | 71 % | 43 % | 51 % | 49 % |
| 87.5 % | ≈ 123′ | Sadness | 77 % | 60 % | 65 % | 30 % |
| 92.5 % | ≈ 130′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
| 97.5 % | ≈ 137′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
Riches to rags
Rags to riches: The emotional tone rises from negative to positive.
Riches to rags: The emotional tone falls from positive to negative.
Man in a hole: The tone falls, then recovers.
Icarus: The tone rises, then falls.
Cinderella: The tone rises, falls, then rises again.
Oedipus: The tone falls, rises, then falls again.
AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗
Kadri — your film companion
AIAsk anything about In the Heat of the Sun. From the film’s own dialogue and FeelDB data, at your spoiler level.
Afterward Reveal viewer responses · may contain spoilers
Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.
0 responses so far
Feeling details appear after at least 3 viewers respond, to protect privacy.
Cast
Mi Lan
Liu Yiku
Mother
Adult Liu Yiku
Small-time Conman
Fat Fool
Zhang Xiaomei
Mi Lan's Grandma
Old General
Yang Gao
Young Ma Xiaojun
Liu Sitian
Biao Zi
Heizi
Details
- Type
- Movies
- Released
- 1994
- Runtime
- 141 min
- Country
- China, Hong Kong
- Ratings
- Feels mostly
- Nostalgia
- Data updated
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.
